Snowflake (SNOW) Research & Development (2019 - 2026)
Snowflake's (SNOW) quarterly Research & Development came in at $611.6 million in Q3 2026, up 21.85% year-over-year from $502.0 million in Q3 2025, and up 3.85% quarter-over-quarter from $589.0 million in Q2 2026.
Snowflake (SNOW) Research & Development (2019 - 2026) Analysis & Trends
Snowflake has disclosed Research & Development across 8 years of filings, most recently posting $611.6 million for Q3 2026.
- In Q3 2026, Research & Development rose 21.85% year-over-year to $611.6 million; the TTM figure through Jul 2026 stood at $2.3 billion (up 20.58% YoY), while the FY2026 annual figure was $2.1 billion, up 15.63% from the prior year.
- Research & Development came in at $611.6 million for Q3 2026 at Snowflake, up from $589.0 million in the prior quarter.
- In the past five years, Research & Development ranged from a high of $611.6 million in Q3 2026 to a low of $203.3 million in Q1 2022.
- Average Research & Development over 5 years is $408.5 million, with a median of $410.8 million recorded in 2024.
- Year-over-year, Research & Development soared 50.16% in 2022 and grew 11.93% in 2026.
- Over 5 years, Research & Development stood at $284.5 million in 2022, then gained by 24.82% to $355.1 million in 2023, then advanced by 24.6% to $442.4 million in 2024, then climbed by 24.39% to $550.4 million in 2025, then gained by 11.13% to $611.6 million in 2026.
- Per Business Quant data, the three most recent Research & Development figures were $611.6 million in Q3 2026, $589.0 million in Q2 2026, and $551.3 million in Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn | 1.13 Bn |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn | 509.97 Mn |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn | 669.10 Mn |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn | 611.62 Mn |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn | 477.97 Mn |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn | 208.69 Mn |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - | - |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn | 253.07 Mn |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn | 273.00 Mn |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn | 679.00 Mn |
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 |
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_KEY
import 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();