Snowflake (SNOW) Shares Outstanding (2019 - 2026)
Snowflake's Shares Outstanding was 349.26 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 4.2% from 335.22 million a year earlier and up 1.1% from the prior quarter.
Snowflake (SNOW) Shares Outstanding (2019 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Shares Outstanding at Snowflake came in at 337.49 million, up 1.4% from FY2025.
- Shares Outstanding has now increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 19.0% (FY2021 to FY2026).
- In earlier fiscal years, Shares Outstanding was 332.71 million in FY2025 (+1.4%), 328 million in FY2024 (+2.9%), 318.73 million in FY2023 (+6.1%) and 300.27 million in FY2022 (+112.0%).
- The fiscal Q2 2027 figure marks the highest quarterly Shares Outstanding in data going back to fiscal Q3 2020.
- Compared with a year earlier, Shares Outstanding has increased for five straight quarters, with growth averaging 1.8% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding over five years was fiscal Q4 2022 (growth of 112.0%); the worst was fiscal Q1 2026 (a decline of 0.3%).
- Per Business Quant data, SNOW's Shares Outstanding in the three fiscal quarters before Q2 2027 was 345.39 million (Q1 2027), 337.49 million (Q4 2026) and 339.65 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 277.52 Bn | 262.59 Bn | 2.30 Bn | 749.00 Mn |
| 2 | CrowdStrike Holdings | 249.50 Bn | 229.90 Bn | 1.10 Bn | 1.02 Bn |
| 3 | Fortinet | 133.40 Bn | 119.33 Bn | 1.64 Bn | 733.10 Mn |
| 4 | Snowflake | 117.12 Bn | 104.44 Bn | 1.04 Bn | 349.26 Mn |
| 5 | Datadog | 94.86 Bn | 76.51 Bn | 881.34 Mn | 356.25 Mn |
| 6 | Okta | 36.37 Bn | 26.46 Bn | 641.00 Mn | 174.30 Mn |
| 7 | Zscaler | 35.35 Bn | 21.47 Bn | - | 160.22 Mn |
| 8 | Axon Enterprise | 33.67 Bn | 28.19 Bn | 546.45 Mn | 80.57 Mn |
| 9 | MongoDB | 29.54 Bn | 20.01 Bn | 569.77 Mn | 80.50 Mn |
| 10 | F5 | 25.93 Bn | 20.34 Bn | 711.51 Mn | 56.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 349.26 Mn |
| Apr 30, 2026 | 345.39 Mn |
| Jan 31, 2026 | 337.49 Mn |
| Oct 31, 2025 | 339.65 Mn |
| Jul 31, 2025 | 335.22 Mn |
| Apr 30, 2025 | 332.66 Mn |
| Jan 31, 2025 | 332.71 Mn |
| Oct 31, 2024 | 331.76 Mn |
| Jul 31, 2024 | 334.07 Mn |
| Apr 30, 2024 | 333.58 Mn |
| Jan 31, 2024 | 328.00 Mn |
| Oct 31, 2023 | 329.31 Mn |
| Jul 31, 2023 | 327.34 Mn |
| Apr 30, 2023 | 324.16 Mn |
| Jan 31, 2023 | 318.73 Mn |
| Oct 31, 2022 | 320.14 Mn |
| Jul 31, 2022 | 318.36 Mn |
| Apr 30, 2022 | 314.36 Mn |
| Jan 31, 2022 | 300.27 Mn |
| Oct 31, 2021 | 303.01 Mn |
Snowflake Shares Outstanding 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=shares-outstanding&ticker=SNOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();