Snowflake (SNOW) EPS (Diluted) (2020 - 2026)
Snowflake's EPS (Diluted) came in at -$0.55 for fiscal Q2 2027 (quarter ended Jul 31, 2026), compared with -$0.89 a year earlier.
Snowflake (SNOW) EPS (Diluted) (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Snowflake reported EPS (Diluted) of -$3.12; for FY2026 (ended Jan 31, 2026), it came in at -$3.95.
- Going back by fiscal year, EPS (Diluted) 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 (Diluted) since fiscal Q4 2024.
- Business Quant data shows SNOW's EPS (Diluted) 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 (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.53 Bn | 240.60 Bn | 2.30 Bn | -0.37 |
| 2 | CrowdStrike Holdings | 230.03 Bn | 210.43 Bn | 1.10 Bn | 0.01 |
| 3 | Fortinet | 123.13 Bn | 109.06 Bn | 1.64 Bn | 0.82 |
| 4 | Snowflake | 107.35 Bn | 94.67 Bn | 1.04 Bn | -0.55 |
| 5 | Datadog | 87.69 Bn | 69.33 Bn | 881.34 Mn | 0.12 |
| 6 | Zscaler | 32.63 Bn | 18.74 Bn | - | - |
| 7 | Okta | 32.61 Bn | 22.70 Bn | 641.00 Mn | 0.65 |
| 8 | Axon Enterprise | 32.22 Bn | 26.75 Bn | 546.45 Mn | 0.36 |
| 9 | MongoDB | 26.93 Bn | 17.40 Bn | 569.77 Mn | 0.50 |
| 10 | F5 | 24.99 Bn | 19.40 Bn | 711.51 Mn | 3.62 |
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 (Diluted) 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-diluted&ticker=SNOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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-diluted&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();