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TILT Reports Record First Quarter 2019 Revenue

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Executed acquisitions and business integration to create one of
the industry’s leading end-to-end provider of products and services in
support of the rapidly growth North American cannabis industry

First Quarter Pro forma Revenue increased 169% year over year to
$40 million

CAMBRIDGE, Mass.–(BUSINESS WIRE)–TILT Holdings Inc. (“TILT” or the “Company”) (CSE: TILT) (OTCQB: SVVTF),
a leading provider of products and services to businesses operating in
the cannabis industry, today announced its financial results for the
first quarter of 2019 ended March 31, 2019. All financial information
presented in this release is in U.S. dollars, unless otherwise noted.

First Quarter 2019 Operational and Financial Highlights

  • First quarter pro forma1 revenue increased 169% year over
    year to $40 million.
  • Improved pro forma1 Adjusted EBITDA margin as a percentage
    of revenue by 330 basis points year over year to (18.4%).
  • Closed the acquisitions of Jupiter Research, Blackbird and Standard
    Farms, creating a comprehensive solutions provider to the cannabis
    industry.
  • Successfully launched manufacturing supply-chain partnerships in
    Massachusetts for third-party clients.
  • Launched on-demand direct-to-consumer cannabis delivery in the Greater
    Los Angeles area.
  • Expanded Jupiter distribution in California through integration with
    TILT’s software and supply chain services.
  • Successfully up-listed shares to the OTCQB Venture Market.
  • Named Mark Scatterday Interim Chief Executive Officer.

“We are pleased to report our first quarter as a consolidated company,
reflecting the strength of the business combination that has established
TILT as one of the largest revenue producing companies in the cannabis
industry. We have only begun to realize the synergies of our business
combination, which we expect to drive incremental revenue growth and
improved margins as we execute our business development and integration
strategies,” stated Mark Scatterday, Interim Chief Executive Officer.
“Our end-to-end, U.S.-focused cannabis businesses continue to scale and
we have assembled leading assets to drive leadership in cultivation and
production, consumer devices and packaged goods, and software and
services. Our near-term plans are to optimize the integration of our
businesses, foster an entrepreneurial culture grounded in accountability
and growth, allocate capital to the combined enterprise’s most promising
near- and long-term growth initiatives, fine-tune and improve
communication with all of our stakeholders and further augment our
operational team.”

 

First Quarter 2019 Financial Highlights

 
      Q1 2019     Q1 2018
Reported revenue     $34.4 million     $0.0 million
Pro forma revenue(1)     $39.6 million     $14.7 million
Gross profit     $7.5 million     $0.0 million
Pro forma gross profit(1)     $7.7 million     $3.9 million
Adjusted EBITDA     $(8.0) million     $(2.1) million
Pro forma Adjusted EBITDA(1)     $(7.3) million     $(3.2) million
       

(1) Represents the pro forma unaudited gross
revenue generated by TILT in the first quarter of fiscal 2019 and 2018
assuming the closing of the business combination (the “Business
Combination”) between Sea Hunter Therapeutics LLC, Briteside Holdings,
LLC, Baker Technologies, Inc. and Santé Veritas Holdings Inc., and the
acquisitions of Jupiter, Blackbird and Standard Farms occurred on
January 1, 2018.

Liquidity

The Company’s cash and cash equivalents at March 31, 2019 were $12.1
million compared to $97.2 million on December 31, 2018. There was no
debt as of March 31, 2019. Subsequent to the end of the first quarter of
fiscal 2019, the Company secured a $20 million credit facility to be
utilized to fund existing and future growth projects, future M&A
activity and general corporate purposes.

Earnings Webcast

The Company will hold a webcast with the investment community at 8:30
a.m. Eastern Time on Friday, May 31, 2019. A live webcast with the
ability to ask questions and view the Company’s presentation will be
available on the Investors – Events & Presentations section of the
Company’s website at https://investors.tiltholdings.com/ir-calendar
or directly at http://public.viavid.com/index.php?id=134773.
Please visit TILT’s website at least 15 minutes prior to the start of
the call to register, download and install any necessary audio software.
The webcast will be archived for approximately 30 days.

About TILT

TILT is a leading provider of products and services to businesses
operating in the cannabis industry. The Company offers the contract
manufacturing of marijuana in a variety of form factors, vaporizer and
inhalation devices, business and consumer delivery services and a broad
suite of software products for over 1,500 retailers and brands
throughout the U.S., Canada and Europe. The majority of TILT’s products
are customized to client specifications and branding, all enabling them
to operate their businesses more efficiently and connect with their
customers more effectively. The Company is organized in two main
business units, Software & Services and Consumer Devices & Packaged
Goods, designed to augment competencies across the organization in
research, manufacturing, packaging and technology to deliver end-to-end
services and customer solutions. All of TILT’s products are supported by
an extensive research process led by scientists and engineers, using
data analytics and discovery to produce new products helping shape the
industry. Headquartered in Cambridge, MA, with offices throughout the
U.S., Toronto and London, TILT has over 500 employees and has sales in
40 U.S. states, Canada and Europe. For more information, please visit www.tiltholdings.com.

Forward-Looking Information

This news release contains forward-looking information based on
current expectations. Forward-looking information is provided for the
purpose of presenting information about management’s current
expectations and plans relating to the future and readers are cautioned
that such statements may not be appropriate for other purposes. Forward
looking information may include, without limitation, the opinions or
beliefs of management, prospects, opportunities, priorities, targets,
goals, ongoing objectives, milestones, strategies and outlook of TILT,
and includes statements about, among other things, future developments,
the future operations, strengths and strategy of TILT. Generally,
forward looking information can be identified by the use of forward
looking terminology such as “plans”, “expects” or “does not expect”, “is
expected”, “budget”, “scheduled”, “estimates”, “forecasts”, “intends”,
“anticipates” or “does not anticipate”, or “believes”, or variations of
such words and phrases or state that certain actions, events or results
“may”, “could”, “would”, “might” or “will be taken”, “occur” or “be
achieved”. These statements should not be read as guarantees of future
performance or results. These statements are based upon certain material
factors, assumptions and analyses that were applied in drawing a
conclusion or making a forecast or projection, including TILT’s
experience and perceptions of historical trends, current conditions and
expected future developments, as well as other factors that are believed
to be reasonable in the circumstances.

Although such statements are based on management’s reasonable
assumptions at the date such statements are made, there can be no
assurance that they it be completed on the terms described above and
that such forward-looking information will prove to be accurate, as
actual results and future events could differ materially from those
anticipated in such forward-looking information. Accordingly, readers
should not place undue reliance on the forward-looking information. TILT
assumes no responsibility to update or revise forward-looking
information to reflect new events or circumstances unless required by
applicable law.

By its nature, forward-looking information is subject to risks and
uncertainties, and there are a variety of material factors, many of
which are beyond the control of TILT, and that may cause actual outcomes
to differ materially from those discussed in the forward-looking
statements.

The CSE has neither approved nor disapproved the contents of this
news release.

Pro Forma Presentation

The pro forma information (“Pro Forma Information”) presented herein
is not necessarily indicative of the operating results or financial
condition that would have been achieved if the proposed acquisitions to
which the Pro Forma Information relates had been completed on the dates
or for the periods presented, nor do they purport to project the results
of operations or financial position of the combined entities for any
future period or as of any future date. Actual amounts recorded upon
consummation of the acquisitions to which the Pro Forma Information
relates would likely differ from those recorded in the Pro Forma
Information. The Pro Forma Information does not reflect any special
items such as integration costs or operating synergies that may be
realized as a result of the acquisitions to which the Pro Forma
Information relates.

Non-IFRS Financial and Performance Measures

In addition to providing financial measurements based on
International Financial Reporting Standards (“IFRS”), the Company
provides additional financial metrics that are not prepared in
accordance with IFRS. Management uses non-IFRS financial measures, in
addition to IFRS financial measures, to understand and compare operating
results across accounting periods, for financial and operational
decision making, for planning and forecasting purposes and to evaluate
the Company’s financial performance. These non-IFRS financial measures
are Adjusted EBITDA and Pro Forma Adjusted EBITDA.

Management believes that these non-IFRS financial measures reflect
the Company’s ongoing business in a manner that allows for meaningful
comparisons and analysis of trends in the business, as they facilitate
comparing financial results across accounting periods and to those of
peer companies. Management also believes that these non-IFRS financial
measures enable investors to evaluate the Company’s operating results
and future prospects in the same manner as management. These non-IFRS
financial measures may also exclude expenses and gains that may be
unusual in nature, infrequent or not reflective of the Company’s ongoing
operating results.

As there are no standardized methods of calculating these non-IFRS
measures, the Company’s methods may differ from those used by others,
and accordingly, the use of these measures may not be directly
comparable to similarly titled measures used by others. Accordingly,
these non-IFRS measures are intended to provide additional information
and should not be considered in isolation or as a substitute for
measures of performance prepared in accordance with IFRS.

EBITDA and Adjusted EBITDA

Adjusted EBITDA and Pro Forma Adjusted EBITDA are financial measures
that are not defined under IFRS. The Company uses these non-IFRS
financial measures, and believes they enhance an investor’s
understanding of the Company’s financial and operating performance from
period to period, because they excludes certain material non-cash items
and certain other adjustments management believes are not reflective of
the Company’s ongoing operations and performance. The Company calculates
EBITDA as net income (loss), plus (minus) income taxes (recovery), plus
(minus) interest expense (income), plus depreciation and amortization
expense. Adjusted EBITDA excludes certain one-time non-operating
expenses, as determined by management, including stock compensation
expense, goodwill impairment, loss (gain) on disposal of asset and
business combination expense.

Reconciliations of Non-IFRS Financial and Performance Measures

Adjusted EBITDA is reconciled to Net Loss in the Management
Discussion and Analysis of the Company for the quarter ended on March
31, 2019, which is available on the Company’s SEDAR profile at
www.sedar.com.
Pro Forma Adjusted EBITDA is reconciled to Net Loss in the table that
follows:

 
Reconciliations of Non-IFRS Financial and Performance Measures
 
The table below reconciles Net Loss to EBITDA and Adjusted EBITDA
for the periods indicated.
 
    Three Months Ended
Mar. 31, 2019       Mar. 31, 2018
Net Income (Loss) (IFRS) ($77,895,668 ) ($2,126,021 )
 
Add (Deduct) Impact of:
Net Interest Expense (Income) ($780,909 )
Income Tax Expense (Recovery) $ 577,589
Depreciation and Amortization $ 9,083,505   $ 4,978  
Total Adjustments $ 8,880,185 $ 4,978
 
EBITDA (Non-IFRS)   ($69,015,483 )   ($2,121,043 )
 
EBITDA (Non-IFRS) ($69,015,483 ) ($2,121,043 )
 
Add (Deduct) Impact of:
Foreign Exchange Loss (Gain)
Stock Compensation Expense $ 59,772,491
Impairment of Inventory
Goodwill Impairment
Business Combination Expense
Business Acquisition Expense $ 1,196,777      
Total Adjustments $ 60,969,268
 
Adjusted EBITDA (Non-IFRS)   ($8,046,215 )   ($2,121,043 )
 

Contacts

Contact Information:
Joel Milton
SVP of Business
Development
Phone: 303-872-7255

Investor Contact:
Scott Van Winkle
ICR
Phone:
617-956-6736
investors@tiltholdings.com

Media Contact:
Cory Ziskind
ICR
Phone: 646-277-1232
tiltholdings@icrinc.com

Cannabis

Strainprint™ Technologies Welcomes Organic Medical Cannabis Producer to Growing List of Subscribers

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Strainprint™ Technologies Ltd, the leader in cannabis data and analytics is pleased to expand their nation-wide coverage with the addition of Stewart Farms.

Stewart Farms is a late-stage applicant headquartered in Alberta that is building a 100,000 sq. ft. vertical aquaponics farm in Saint StephensNew Brunswick. They will be utilizing automation, vertical farming, and land-based aquaculture to produce medical grade organic cannabis for both recreational and medical markets in Canada. All of their products will be free of herbicides, pesticides and synthetic nutrients. At full capacity, they will reach more than 10,000 kgs per year of organically farmed cannabis and more than 200,000 kgs of organic tilapia.

Stewart Farms’ long term vision is to deliver tools and products to support  future customers and patients during their health and wellness journeys. “Through our partnership with Strainprint we gain direct access to their incomparable data and analytics tools. This will aid us in educating a wider audience on the medical benefits and best practices of cannabis-based medicine,” said Tanner Stewart, Co-founder & CEO of Stewart Farms. “We know our customers are looking to consume more than dried cannabis. We know Canadians of all legal ages are trying to sort through their personal engagement with cannabis as a medicine. What we want to know, on an ongoing basis, is what is and is not working for people. Strainprint’s patient-led data services will give us the insight needed to create custom products and further understand the benefits of our existing products. Finally, our goal is to partner with companies and teams that truly have people’s best interest at heart. Caring about a patient’s success is what makes up the core of the Strainprint team. We couldn’t be happier to move forward with them at our side.”

Stewart Farms will access the Strainprint Analytics web platform, the most sophisticated cannabis analytics platform available to improve product development. Strainprint Analytics is built on top of the largest and most granular scientific data set of its kind in the world, with more than 1.3 million anonymized, patient reported medical cannabis outcomes and more than 65 million data points on strain efficacy.

“We’re thrilled to provide our real-time, crowd sourced data to an environmentally conscious company that uses innovative, cutting edge farming technology to produce top-tier medical cannabis,” said Strainprint CEO, Andrew Muroff. “Our organizations are equally committed to improving lives using cannabis therapy, and our shared core motivation is to provide guidance and support to help cannabis patients achieve their health goals.”

 

SOURCE Strainprint Technologies Ltd.

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Field Trip Ventures Inc. Retains KCSA Strategic Communications as Public Relations Counsel

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Greenery Map, the world’s first and only cannabis search engine to allow users to search for cannabis products based on their desired mood, medicinal use, and method of consumption, is now offering users – both businesses and consumers – the opportunity to register and connect to the app in an entirely mobile way. Previously, businesses were required to access GreeneryMap.com from a desktop in order to manage accounts and connect to the inventory API system, but that road block has been removed, allowing for an entirely mobile experience through the Greenery Map app.

App users turn to Greenery Map to help them decide on the strain of Cannabis and product that is right for them depending on their desired mood or medicinal effect. Following the matching, consumers are given a detailed history and description of the strain so that they can make educated purchases, cutting down on time that budtenders need to spend with patrons and speeding up the purchase process. Consumers can then see all of the ways to purchase said product, including the nearby dispensaries that have it in stock, online options, and even delivery options through the app. Greenery Map fully integrates with a dispensary’s inventory API system to update in real-time and give consumers real-time information on dispensary stock for the item they are looking for. The Greenery Map system also provides cannabis businesses in both the B2B and B2C sectors a private database to share and sell information and products. For Cannabis businesses, Greenery Map also offers the opportunity to open bank and merchant accounts through their partnership with PayHouse Consulting Group.

 

SOURCE Greenery Map

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WeBank, IBM and Other Organizations Jointly Held the 1st International Workshop on Federated Machine Learning in conjunction with IJCAI 2019

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Once a concept, AI is now ushering in a key stage of application. What’s the solution to the data silos among businesses? Given the enhanced regulation on data at home and abroad, what’s the solution to data privacy and security concerns? What’s the status quo of Federated Machine Learning and how to establish an ecosystem for FML in the future?

WeBank, IBM and other organizations jointly held the 1st International Workshop on Federated Machine Learning for User Privacy and Data Confidentiality (FML’19) in conjunction with the 28th International Joint Conference on Artificial Intelligence (IJCAI-19) on Aug. 12, 2019, to further discussion on these issues.

President of IJCAI, Chair of FML Steering Committee, Chief AI Officer of WeBank Professor Qiang Yang delivered opening remarks at the workshop. Dr. Shahrokh Daijavad from IBM and Dr. Jakub Konečný from Google presented keynote addresses. In the panel discussion, top scholars from WeBank, Bar-Ilan University, IBM, Squirrel AI, Google, Huawei, Clustar, Sinovation Ventures and many other renowned enterprises and universities shared and discussed their findings and experience in FML as an emerging AI technology.

This workshop received 40 papers, of which 12 were presented during the workshop, 19 presented via poster. Awards include Best Theory Paper Award, Best Application Paper Award, Best Student Paper Award, Best Presentation Award. Selected high quality papers will be invited for publication in a special issue in the IEEE Intelligent Systems journal. All these attracted numerous scholars to engage in discussions and join efforts for building the FML ecosystem.

Experts from IBM and Google Share Groundbreaking Findings with a Focus on the Theory and Application of FML

Privacy and security are becoming a key concern in our digital age. On 25th May last year, the implementation of General Data Protection Regulation (GDPR) by the EU, the toughest Act on data privacy protection, stressed that user data collection must be open and transparent. A series of laws and regulations from China and overseas also pose new challenges to the traditional way of handling data and model for cooperation. Seeking ways for AI to adapt to this new reality became top priority, a demand that led to this workshop on FML.

A wealth of solutions and breakthroughs were shared by Dr. Shahrokh Daijavad from IBM and Dr. Jakub Konečný from Google in their speech on FML.

Besides how FML can help tackle challenges in the business world, Dr. Shahrokh Daijavad also shared the concept of Fusion AI, which means to train models on widely distributed data sets, but fuse them to produce one equivalent to what centralized training would yield. “Unlike traditional machine learning, in Fusion AI, model parameters are shared and data is not transferred, which makes Fusion AI model better than models that moving data centrally.” Given the widely distributed data, the development of Fusion AI and FML became ever important and imminent.

“FML enables machine learning engineers and data scientists to work productively with decentralized data with privacy by default,” said Dr. Jakub Konečný from Google. He also shared with us how FML works and its use cases at Google. In the case of Gboard, as on-device data is privacy sensitive or large or is more relevant than server-side proxy data, and labels can be inferred naturally via user interaction, the application of Federated RNN compared to prior n-gram model can increase the accuracy of next-word prediction by 24%, and the click rate of prediction strip by 10%.

Major Figure Panelists Discuss the Way Ahead for FML

The moderator of the panel discussion, AI Principal Scientist of WeBank Dr. Lixin Fan joined panelists including Professor Benny Pinkas from Bar-Ilan University, Dr. Shahrokh Daijavad of IBM Academy of Technology, Chief Architect of Squirrel AI Dr. Richard Tong, Research Scientist of Google Dr. Jakub Konečný, Dr. Baofeng Zhang from CTO Office of CBG Software in Huawei, Executive VP of Clustar Dr. Junxue Zhang, VP of AI Institute in Sinovation Ventures Dr. Ji Feng and other experts in a host of in-depth exchanges with attendees, to shed light on the way ahead for FML.

Experts shared thoughts in the panel discussion on questions including but not limited to: How to meet the security and compliance requirements? Is there a way to extend the value of data while observing user privacy and data security? Given the classic trade-off between data regulation and development of AI, how to achieve the long-term goal of establishing a stable and win-win business ecosystem?

List of Award-Winners

Best Theory Paper Award, Best Application Paper Award, Best Student Paper Award and Best Presentation Award selected by all attendees were announced at the closing of the workshop.

Best Theory Paper Award: 
Preserving User Privacy for Machine Learning: Local Differential Privacy or Federated Machine Learning? By Huadi Zheng, Haibo Hu & Ziyang Han;

Best Application Paper Award: 
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare. By Yiqiang ChenJindong WangChaohui YuWen Gao & Xin Qin;

Best Student Paper Award: 
Quantifying the Performance of Federated Transfer Learning. By Qinghe JingWeiyan Wang, Junxue Zhang, Han Tian & Kai Chen;

Best Presentation Award: 
Federated Generative Privacy. By Aleksei Triastcyn and Boi Faltings.

President of IJCAI, Chief AI Officer of WeBank Professor Qiang Yang, Chief Architect of Squirrel AI Dr. Richard TongandVP of AI Institute in Sinovation Ventures Dr. Ji Feng presented the awards.

“The mission of this International Federated Machine Learning Workshop is to facilitate further understanding in the academia, business community as well as legal and regulatory institutions by promoting the establishment of FML ecosystem in the hope that more businesses will join and build a platform for students aspired to work in FML to find research teams that suit them,” said Professor Qiang Yang.

Held Aug. 10-16, 2019 in Macao, China, IJCAI-19 is one of the leading International Academic Conference on AI, attracting over 3000 AI research personnel and experts. The 1st International Workshop on Federated Machine Learning (FML’19) was a highlight for experts joining this event. Visionaries in the academia and industrial sector expressed the willingness to be part of the effort for academic research, application of FML in the future, and the development and boom of AI ecosystem.

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