Matillion provides data transformation software for cloud data warehouses, enabling customers to extract, load, and transform data for analytics-ready insights.

Ed Thompson

Matthew Scullion

Matillion

Growing pAI offers AI solutions for organizations, focusing on data integration, scalable AI modeling, and data visualization. Self-described capabilities include leveraging Azure and Power BI for analytics and decision-making.

Growing pAI

Qumulo provides a platform for hybrid enterprises to store and manage file and object data at exabyte scale. The company offers solutions for cloud, data centers, and edge computing.

Qumulo

Team EQ provides a data-driven transformation platform aimed at increasing people engagement, boosting team performance, and improving business results. The platform focuses on leveraging analytics to enhance emotional intelligence, productivity, and transparency within teams.

Team EQ

Matillion is the productivity platform for data teams.
Matillion makes data work more productive by empowering the entire data team – coders and non-coders alike – to move, transform, and orchestrate data pipelines faster.

YFM Equity Partners

Sapphire Ventures

Battery Ventures

Scale Venture Partners

Lightspeed Venture Partners

Silicon Valley Bank UK

General Atlantic

Citi Ventures

Databricks Ventures

Snowflake Ventures

Matillion commissioned Forrester Consulting to conduct a Total Economic Impact™ study to examine the potential return on investment of data engineers using the Matillion Data Productivity Cloud.

Read the full blog here. 👉

https://okt.to/zbfiYm

To continue delighting customers with personalized services and offerings, Groupe Legault needed to simplify that stream to unlock vital insights. So, they turned to Matillion. 🚀

Learn how Groupe Legault simplified their data stream with Matillion.

https://okt.to/nXAae6

Managing data replication can be complex, but full data loading emerges as a reliable strategy. Our latest blog covers where we dissect this approach, exploring its simplicity and efficiency - whether you're familiar with Medallion data architecture or not, we've got you covered.

https://okt.to/QNkoit

#DataReplication #DataManagement

Productivity is at the forefront of our minds at Matillion and we want to share that focus with you too. Being able to load all your data into one data lake is just one way. 🔝

Leave a review and let us know what you think. https://okt.to/yEebqs

How did Lima One Capital clean, format, and restructure their data creating one cohesive data model before loading to their data warehouse? 🛠️

Diana Pilzer, Data Engineer at Lima One Capital, explains how Matillion helped empower their data team.

https://okt.to/wsxGFb

Every data engineer should have a platform that allows the manipulation of data at the speed of thought, and that's why they chose Matillion. ⚡

Want to leave a review? https://okt.to/dJHl21

Let's journey back to the early stages of data engineering when DevOps was merely a concept on a whiteboard. But now, efficiency, agility, and reliability are easily available throughout the software development lifecycle. 🔄

Read our blog to explore the application of conventional DevOps techniques to data engineering.

https://okt.to/wKS36G

#DevOps #DataEngineer

Our latest blog explores the journey of Ed Coronado, a seasoned data solution architect at Wavicle Data Solutions in Chicago. With over 25 years of expertise, Ed shares how Matillion became a game-changer in the world of data solutions in 2016. 🤯

Learn how the incredible collaboration that revolutionized Fleet Management and Leasing Solutions, unlocked unlimited positive outcomes.

https://okt.to/rGdbIE

No matter how many people are in your data team, Matillion can give you the power to streamline processes, maximize efficiency, and unlock actionable insights for your whole organization. 🔓

Want to leave a review? https://okt.to/vdy1Rm

What do you need to provide a modern banking solution with a personal touch? Data. What does data need? Matillion. 🚀

Explore Leader Bank's journey with Matillion and how they implemented a data-led approach for superior personalization.

https://okt.to/Tkq0P8

Metric
Company Name	Matillion	Growing pAI	Qumulo	Team EQ
Symbol
MSH ID	COM:MATILLION	COM:GROWINGPAI	COM:QUMULO	NET:TEAMEQ
Market	PRIVATE	PRIVATE	PRIVATE	PRIVATE
Sector	Technology	Technology	Technology	Commercial & Professional Services
Industry	Information Technology	Information Technology & Services	Data Storage and Management	Human Resources Technology
Country	GB	BE	US	ES
Stage			E
Employee Count	506
Website	matillion.com	growingpai.com	qumulo.com	teameq.net
LinkedIn	matillion-limited
Founders

Metric
Market Cap
Enterprise Value
Monthly Web Traffic			11.24K
Web Traffic Growth			0.92
Valuation
Raised Capital			125M

Metric
Revenue
Revenue (LTM)
Revenue (NTM)
Gross Profit
EBITDA
Operating Income
Net Income
EPS
Diluted EPS
Revenue 2022
Revenue 2023
Revenue 2024
Revenue 2025
Revenue 2026

Metric
Revenue Growth (LTM)
Revenue Growth (NTM)
Gross Profit Growth (LTM)
EBITDA Growth (LTM)
Net Income Growth (LTM)
14-Day Growth Score
28-Day Growth Score
90-Day Growth Score
365-Day Growth Score

Metric
Gross Profit Margin
Operating Profit Margin
EBITDA Margin
Net Profit Margin
Return on Equity
Return on Assets
Return on Capital Employed

COM:MATILLION

Matillion

Company Overview

Market Metrics

Financial Performance

Growth Metrics

Profitability Ratios

Valuation Multiples

Operational Metrics

Cash Flow Metrics

Balance Sheet Metrics

Efficiency Metrics

Metric
P/E Ratio
P/B Ratio
Revenue Multiple (LTM)
Revenue Multiple (NTM)
EBITDA Multiple (LTM)
EBITDA Multiple (NTM)
Price to Sales Ratio
EV Multiple

Metric
Days Sales Outstanding
Days Payables Outstanding
Days Inventory Outstanding
Operating Cycle
Cash Conversion Cycle
Asset Turnover

Metric
Operating Cash Flow
Free Cash Flow
Cash Flow to Debt
Operating Cash Flow/Sales
Free Cash Flow Yield

Metric
Cash & Equivalents
Accounts Receivable
Inventory
Goodwill
Debt to Capitalization
Debt to Assets
Current Ratio
Quick Ratio

Metric
Rule of 40 (LTM)
Rule of 40 (NTM)
Stock Comp to Revenue
R&D to Revenue
SG&A to Revenue