Snowflake (SNOW) Shares Outstanding (Entity) (2019 - 2026)
Snowflake (SNOW) posted Shares Outstanding (Entity) of 352.46 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 4.0% from 338.8 million a year earlier and up 1.7% from the prior quarter.
Snowflake (SNOW) Shares Outstanding (Entity) (2019 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Snowflake's Shares Outstanding (Entity) came in at 343.92 million, up 2.9% from FY2025.
- Annual Shares Outstanding (Entity) shows a five-year compound annual growth rate of 3.6% (FY2021 to FY2026).
- In prior fiscal years, Snowflake's Shares Outstanding (Entity) was 334.1 million in FY2025 (unchanged), 334.2 million in FY2024 (+2.8%), 325 million in FY2023 (+3.3%) and 314.6 million in FY2022 (+9.3%).
- The fiscal Q2 2027 figure stands as the highest quarterly Shares Outstanding (Entity) in data going back to fiscal Q3 2020.
- On a year-over-year basis, Shares Outstanding (Entity) has increased in each of the last five quarters, with growth averaging 1.9% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Entity) in the past five years was fiscal Q3 2022, with growth of 12.2%; the weakest was fiscal Q1 2026, with a decline of 0.3%.
- According to Business Quant data, Shares Outstanding (Entity) for the three prior fiscal quarters was 346.6 million (Q1 2027), 343.92 million (Q4 2026) and 342.2 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 815.00 Mn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 1.02 Bn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 733.60 Mn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 352.46 Mn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 358.96 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 81.24 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 80.56 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 167.14 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | 163.06 Mn |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 352.46 Mn |
| Apr 30, 2026 | 346.60 Mn |
| Jan 31, 2026 | 343.92 Mn |
| Oct 31, 2025 | 342.20 Mn |
| Jul 31, 2025 | 338.80 Mn |
| Apr 30, 2025 | 333.70 Mn |
| Jan 31, 2025 | 334.10 Mn |
| Oct 31, 2024 | 330.10 Mn |
| Jul 31, 2024 | 335.20 Mn |
| Apr 30, 2024 | 334.80 Mn |
| Jan 31, 2024 | 334.20 Mn |
| Oct 31, 2023 | 329.30 Mn |
| Jul 31, 2023 | 329.70 Mn |
| Apr 30, 2023 | 325.90 Mn |
| Jan 31, 2023 | 325.00 Mn |
| Oct 31, 2022 | 321.60 Mn |
| Jul 31, 2022 | 320.00 Mn |
| Apr 30, 2022 | 318.10 Mn |
| Jan 31, 2022 | 314.60 Mn |
| Oct 31, 2021 | 306.30 Mn |
Snowflake Shares Outstanding (Entity) 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-entity&ticker=SNOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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-entity&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();