Snowflake (SNOW) EPS (Basic) (2019 - 2026)
Snowflake's EPS (Basic) came in at -$0.55 for fiscal Q2 2027 (quarter ended Jul 31, 2026), compared with -$0.89 a year earlier.
Snowflake (SNOW) EPS (Basic) (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Snowflake reported EPS (Basic) of -$3.12; for FY2026 (ended Jan 31, 2026), it came in at -$3.95.
- Going back by fiscal year, EPS (Basic) was -$3.86 in FY2025, -$2.55 in FY2024, -$2.50 in FY2023 and -$2.26 in FY2022.
- The fiscal Q2 2027 figure represents the highest quarterly EPS (Basic) since fiscal Q4 2024.
- Business Quant data shows SNOW's EPS (Basic) at -$0.86 (Q1 2027), -$0.92 (Q4 2026) and -$0.87 (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 264.72 Bn | 249.79 Bn | 2.30 Bn | -0.38 |
| 2 | CrowdStrike Holdings | 238.73 Bn | 219.14 Bn | 1.10 Bn | 0.01 |
| 3 | Fortinet | 127.27 Bn | 113.20 Bn | 1.64 Bn | 0.83 |
| 4 | Snowflake | 110.23 Bn | 97.55 Bn | 1.04 Bn | -0.55 |
| 5 | Datadog | 89.17 Bn | 70.81 Bn | 881.34 Mn | 0.13 |
| 6 | Zscaler | 33.92 Bn | 20.04 Bn | - | - |
| 7 | Okta | 33.82 Bn | 23.92 Bn | 641.00 Mn | 0.67 |
| 8 | Axon Enterprise | 33.04 Bn | 27.56 Bn | 546.45 Mn | 0.37 |
| 9 | MongoDB | 27.87 Bn | 18.34 Bn | 569.77 Mn | 0.51 |
| 10 | F5 | 25.05 Bn | 19.46 Bn | 711.51 Mn | 3.67 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -0.55 |
| Apr 30, 2026 | -0.86 |
| Jan 31, 2026 | -0.92 |
| Oct 31, 2025 | -0.87 |
| Jul 31, 2025 | -0.89 |
| Apr 30, 2025 | -1.29 |
| Jan 31, 2025 | -0.98 |
| Oct 31, 2024 | -0.98 |
| Jul 31, 2024 | -0.95 |
| Apr 30, 2024 | -0.95 |
| Jan 31, 2024 | -0.52 |
| Oct 31, 2023 | -0.65 |
| Jul 31, 2023 | -0.69 |
| Apr 30, 2023 | -0.70 |
| Jan 31, 2023 | -0.65 |
| Oct 31, 2022 | -0.63 |
| Jul 31, 2022 | -0.70 |
| Apr 30, 2022 | -0.53 |
| Jan 31, 2022 | -0.44 |
| Oct 31, 2021 | -0.51 |
Snowflake EPS (Basic) 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=eps-basic&ticker=SNOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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=eps-basic&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();