Snowflake (SNOW) Research & Development (2019 - 2026)
Snowflake's Research & Development came in at $567.48 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 15.3% from $492 million a year earlier and up 6.1% from the prior quarter.
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Analysis
Snowflake (SNOW) Research & Development (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Snowflake reported Research & Development of $2.11 billion, up 11.0% year-over-year; for FY2026 (ended Jan 31, 2026), it was $1.97 billion, up 10.4% from FY2025.
- Research & Development has increased in each of the last seven fiscal years, with a five-year compound annual growth rate of 52.6% (FY2021 to FY2026).
- Going back by fiscal year, Research & Development was $1.78 billion in FY2025 (+38.5%), $1.29 billion in FY2024 (+63.4%), $788.06 million in FY2023 (+68.8%) and $466.93 million in FY2022 (+96.2%).
- The fiscal Q2 2027 figure represents the highest quarterly Research & Development in data going back to fiscal Q3 2020.
- Year-over-year, Research & Development has increased for 24 consecutive quarters, with growth averaging 17.5% over the last eight quarters.
- Across the past five years, year-over-year growth in Research & Development ran from 3.8% in fiscal Q4 2026 to 96.6% in fiscal Q4 2023.
- Business Quant data shows SNOW's Research & Development at $534.94 million (Q1 2027), $511.04 million (Q4 2026) and $494.03 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 264.72 Bn | 249.79 Bn | 2.30 Bn | 779.00 Mn |
| 2 | CrowdStrike Holdings | 238.73 Bn | 219.14 Bn | 1.10 Bn | 444.20 Mn |
| 3 | Fortinet | 127.27 Bn | 113.20 Bn | 1.64 Bn | 225.00 Mn |
| 4 | Snowflake | 110.23 Bn | 97.55 Bn | 1.04 Bn | 567.48 Mn |
| 5 | Datadog | 89.17 Bn | 70.81 Bn | 881.34 Mn | 477.97 Mn |
| 6 | Zscaler | 33.92 Bn | 20.04 Bn | - | - |
| 7 | Okta | 33.82 Bn | 23.92 Bn | 641.00 Mn | 163.00 Mn |
| 8 | Axon Enterprise | 33.04 Bn | 27.56 Bn | 546.45 Mn | 208.69 Mn |
| 9 | MongoDB | 27.87 Bn | 18.34 Bn | 569.77 Mn | 213.87 Mn |
| 10 | F5 | 25.05 Bn | 19.46 Bn | 711.51 Mn | 164.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 567.48 Mn |
| Apr 30, 2026 | 534.94 Mn |
| Jan 31, 2026 | 511.04 Mn |
| Oct 31, 2025 | 494.03 Mn |
| Jul 31, 2025 | 492.00 Mn |
| Apr 30, 2025 | 472.40 Mn |
| Jan 31, 2025 | 492.49 Mn |
| Oct 31, 2024 | 442.44 Mn |
| Jul 31, 2024 | 437.66 Mn |
| Apr 30, 2024 | 410.79 Mn |
| Jan 31, 2024 | 364.48 Mn |
| Oct 31, 2023 | 332.07 Mn |
| Jul 31, 2023 | 314.00 Mn |
| Apr 30, 2023 | 277.41 Mn |
| Jan 31, 2023 | 242.13 Mn |
| Oct 31, 2022 | 211.39 Mn |
| Jul 31, 2022 | 183.75 Mn |
| Apr 30, 2022 | 150.80 Mn |
| Jan 31, 2022 | 123.15 Mn |
| Oct 31, 2021 | 115.90 Mn |
API Access
Snowflake Research & Development API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=research-and-development&ticker=SNOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "SNOW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=research-and-development&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();