Snowflake (SNOW) Acquisitions (2022 - 2026)
Snowflake's Acquisitions came in at $252.46 million for fiscal Q1 2027 (quarter ended Apr 30, 2026).
Snowflake (SNOW) Acquisitions (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Apr 30, 2026, Snowflake reported Acquisitions of $431.31 million; for FY2026 (ended Jan 31, 2026), it came in at $178.85 million, up 490.2% from FY2025.
- Acquisitions carries a five-year compound annual growth rate of 97.0% (FY2021 to FY2026).
- Going back by fiscal year, Acquisitions was $30.31 million in FY2025 (-89.0%), $275.71 million in FY2024 (-24.0%) and $362.61 million in FY2023.
- The fiscal Q1 2027 figure represents the highest quarterly Acquisitions in data going back to fiscal Q1 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 243.74 Bn | 228.81 Bn | 2.30 Bn | 100.00 Mn |
| 2 | CrowdStrike Holdings | 224.79 Bn | 205.20 Bn | 1.10 Bn | - |
| 3 | Snowflake | 97.46 Bn | 84.77 Bn | 1.04 Bn | - |
| 4 | Fortinet | 92.10 Bn | 76.35 Bn | 1.64 Bn | 9.80 Mn |
| 5 | Datadog | 64.70 Bn | 45.25 Bn | 959.92 Mn | 3.30 Mn |
| 6 | Zscaler | 33.91 Bn | 20.06 Bn | 689.22 Mn | 148.03 Mn |
| 7 | Axon Enterprise | 33.52 Bn | 28.04 Bn | 546.45 Mn | 1.91 Mn |
| 8 | Okta | 30.43 Bn | 20.52 Bn | 641.00 Mn | - |
| 9 | MongoDB | 24.96 Bn | 15.43 Bn | 569.77 Mn | 9.24 Mn |
| 10 | Roku | 24.03 Bn | 14.05 Bn | 648.52 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 252.46 Mn |
| Jan 31, 2026 | 14.62 Mn |
| Jul 31, 2025 | 164.23 Mn |
| Jan 31, 2025 | 13.18 Mn |
| Oct 31, 2024 | 8.22 Mn |
| Jul 31, 2024 | 8.91 Mn |
| Jan 31, 2024 | -3.83 Mn |
| Oct 31, 2023 | 14.96 Mn |
| Jul 31, 2023 | 141.46 Mn |
| Apr 30, 2023 | 123.11 Mn |
| Jan 31, 2023 | 10.05 Mn |
| Oct 31, 2022 | 174.63 Mn |
| Apr 30, 2022 | 177.93 Mn |
Snowflake Acquisitions 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=acquisitions&ticker=SNOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();