Snowflake (SNOW) Retained Earnings (2020 - 2026)
Snowflake's (SNOW) quarterly Retained Earnings came in at $12.5 billion in Q3 2026, up 14.28% year-over-year from $10.9 billion in Q3 2025, and up 3.43% quarter-over-quarter from $12.1 billion in Q2 2026.
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Analysis
Snowflake (SNOW) Retained Earnings (2020 - 2026) Analysis & Trends
Snowflake has disclosed Retained Earnings across 7 years of filings, most recently posting $12.5 billion for Q3 2026.
- In Q3 2026, Retained Earnings rose 14.28% year-over-year to $12.5 billion; the TTM figure through Jul 2026 stood at $12.5 billion (up 14.28% YoY), while the FY2026 annual figure was $11.5 billion, up 10.76% from the prior year.
- Retained Earnings came in at $12.5 billion for Q3 2026 at Snowflake, up from $12.1 billion in the prior quarter.
- In the past five years, Retained Earnings ranged from a high of $12.5 billion in Q3 2026 to a low of $7.0 billion in Q1 2022.
- Average Retained Earnings over 5 years is $9.6 billion, with a median of $9.5 billion recorded in 2024.
- Year-over-year, Retained Earnings increased 18.58% in 2022 and increased 10.76% in 2026.
- Over 5 years, Retained Earnings stood at $8.0 billion in 2022, then advanced by 11.8% to $8.9 billion in 2023, then increased by 11.56% to $10.0 billion in 2024, then rose by 12.59% to $11.2 billion in 2025, then advanced by 11.44% to $12.5 billion in 2026.
- Per Business Quant data, the three most recent Retained Earnings figures were $12.5 billion in Q3 2026, $12.1 billion in Q2 2026, and $11.5 billion in Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn | 2.79 Bn |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn | 6.34 Bn |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn | -316.70 Mn |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn | 12.50 Bn |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn | 234.92 Mn |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn | 1.14 Bn |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - | 3.87 Bn |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn | 4.85 Bn |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn | 9.35 Bn |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -10.28 Bn |
| Apr 30, 2026 | -10.09 Bn |
| Jan 31, 2026 | -9.49 Bn |
| Oct 31, 2025 | -9.03 Bn |
| Jul 31, 2025 | -8.51 Bn |
| Apr 30, 2025 | -8.21 Bn |
| Jan 31, 2025 | -7.29 Bn |
| Oct 31, 2024 | -6.97 Bn |
| Jul 31, 2024 | -5.63 Bn |
| Apr 30, 2024 | -4.91 Bn |
| Jan 31, 2024 | -4.08 Bn |
| Oct 31, 2023 | -3.91 Bn |
| Jul 31, 2023 | -3.29 Bn |
| Apr 30, 2023 | -3.07 Bn |
| Jan 31, 2023 | -2.72 Bn |
| Oct 31, 2022 | -2.51 Bn |
| Jul 31, 2022 | -2.31 Bn |
| Apr 30, 2022 | -2.09 Bn |
| Jan 31, 2022 | -1.92 Bn |
| Oct 31, 2021 | -1.79 Bn |
API Access
Snowflake Retained Earnings 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=retained-earnings&ticker=SNOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();