Snowflake (SNOW) EBT (2019 - 2026)
Snowflake's (SNOW) quarterly EBT came in at -$188.3 million in Q3 2026, up 36.79% year-over-year from -$137.7 million in Q3 2025, and up 36.53% quarter-over-quarter from -$296.7 million in Q2 2026.
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Analysis
Snowflake (SNOW) EBT (2019 - 2026) Analysis & Trends
Snowflake has disclosed EBT across 8 years of filings, most recently posting -$188.3 million for Q3 2026.
- In Q3 2026, EBT rose 36.79% year-over-year to -$188.3 million; the TTM figure through Jul 2026 stood at -$1.1 billion (up 22.01% YoY), while the FY2026 annual figure was -$1.3 billion, down 2.09% from the prior year.
- EBT came in at -$188.3 million for Q3 2026 at Snowflake, up from -$296.7 million in the prior quarter.
- In the past five years, EBT ranged from a high of -$130.6 million in Q1 2022 to a low of -$424.2 million in Q2 2025.
- Average EBT over 5 years is -$256.7 million, with a median of -$232.7 million recorded in 2023.
- Year-over-year, EBT sank 89.46% in 2025 and jumped 36.79% in 2026.
- Over 5 years, EBT stood at -$197.4 million in 2022, then declined by 7.02% to -$211.3 million in 2023, then tumbled by 54.26% to -$326.0 million in 2024, then grew by 11.67% to -$287.9 million in 2025, then surged by 34.6% to -$188.3 million in 2026.
- Per Business Quant data, the three most recent EBT figures were -$188.3 million in Q3 2026, -$296.7 million in Q2 2026, and -$301.9 million in Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn | -269.00 Mn |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn | 3.93 Mn |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn | 720.20 Mn |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn | -188.29 Mn |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn | 51.73 Mn |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn | 32.68 Mn |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - | - |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn | 45.95 Mn |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn | 126.00 Mn |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn | 473.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -188.29 Mn |
| Apr 30, 2026 | -296.66 Mn |
| Jan 31, 2026 | -301.90 Mn |
| Oct 31, 2025 | -287.92 Mn |
| Jul 31, 2025 | -297.87 Mn |
| Apr 30, 2025 | -424.22 Mn |
| Jan 31, 2025 | -330.06 Mn |
| Oct 31, 2024 | -325.97 Mn |
| Jul 31, 2024 | -313.98 Mn |
| Apr 30, 2024 | -315.10 Mn |
| Jan 31, 2024 | -174.21 Mn |
| Oct 31, 2023 | -211.30 Mn |
| Jul 31, 2023 | -231.04 Mn |
| Apr 30, 2023 | -232.67 Mn |
| Jan 31, 2023 | -207.11 Mn |
| Oct 31, 2022 | -197.43 Mn |
| Jul 31, 2022 | -218.96 Mn |
| Apr 30, 2022 | -192.49 Mn |
| Jan 31, 2022 | -130.61 Mn |
| Oct 31, 2021 | -153.68 Mn |
API Access
Snowflake EBT 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=ebt&ticker=SNOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();