Fiscal Q1 2023 Earnings Release

On May 25, 2022, Snowflake released its fiscal first-quarter 2023 results for the quarter ended April 2022. The Company reported a GAAP earnings-per-share (EPS) loss of (-$0.53). Revenues grew 84.5% year-over-year (YoY) to $422.37 million, beating analyst estimates for $413.01 million. RPO rose 82% YoY to $2.6 billion. The customer base grew to 6,322 with a 174% net retention rate. The Company has 206 customers with trailing 12-month contract values over $1 million. Snowflake CEO Frank Slootman commented, "During Q1, product revenue grew 84% year-on-year to $394 million dollars. We closed the quarter with a record $181 million of non-GAAP adjusted free cash flow, pairing high growth with improving unit economics and operational efficiency. Snowflake's strategic focus is to enable every single workload type that needs access to data."

Reaffirmed Guidance 

Snowflake expects fiscal Q2 2023 product revenues to come in between $435 million to $445 million. Total product revenues for fiscal full-year 2023 are expected to come in between $1.885 billion to $1.9 billion.

Conference Call Takeaways

CEO Slootman went into detail about the necessity of its data management solutions. Enterprises have historically struggled to report yesterday’s news in a timely manner as the data had to be transformed and transported to systems that made sense out of operational and transaction data. There just wasn’t the ability “… to ingest ever-larger volumes of data to perform long-running processes to make the data consumable and analytics ready.” From reporting historical insights to help predict data relationships and optimize courses of action. Snowflake enables machine learning and data science workloads. He summed it up, “Data science can discover and describe data relationships and therefore also predict them and optimize courses of action. To enable machine learning and data science workloads, Snowflake has been investing for years now in the tooling for these workload types.” He pointed out that the key purpose of the Snowflake Data Cloud is to allow work to come to the data, not the other way around and bring data to work. Legacy systems required data to be copied, transferred and replicated to be used where it was needed. This caused bottlenecks as oceans of data were moving around the clock increasing operation complexity, cost and governance risks. This is how the Data Cloud brings work to come to the data.

SNOW Opportunistic Pullback Levels

Using the rifle charts on the weekly and daily time frames provides a precision view of the landscape for SNOW stock. The weekly rifle chart bottomed near the $112.10 Fibonacci (fib) level. The weekly rifle chart bounced with a rising 5-period moving average (MA) at $149.34 towards the 15-period MA at $149.81. The weekly stochastic is bouncing through the 20-band. The weekly market structure low (MSL) buy triggers above $152.20. The daily rifle chart is chopping around with flat 5-period MA at $150.11 and 15-period MA at $151.15. The daily stochastic is chopping around the 50-band as well. The daily Bollinger Bands (BBs) are in a compression with upper BBs flat at $149.64 and lower BBs at $134.08. The daily 50-period MA sits at $138.96. Prudent investors can monitor for opportunistic pullback levels at the $138.20 fib, $132.06 fib, $125.78, $118.55 fib, $112.10 fib, $105.38 fib, $98.01 fib, and $90.49 fib level. Upside trajectories range from the $178.47 fib up towards the $207.62 fib level.