Snowflake (SNOW) Net Income Attributable to Noncontrolling Interests (2022 - 2025)
Snowflake's Net Income Attributable to Noncontrolling Interests came in at $2.58 million for FY2026 (year ended Jan 31, 2026), compared with -$3.57 million in FY2025.
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Analysis
Snowflake (SNOW) Net Income Attributable to Noncontrolling Interests (2022 - 2025) Analysis & Trends
Going back to FY2023, Snowflake's Net Income Attributable to Noncontrolling Interests data covers 4 fiscal years.
- Per Business Quant, earlier fiscal years put Net Income Attributable to Noncontrolling Interests at -$3.57 million in FY2025, -$1.89 million in FY2024 and -$821,000 in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCI Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 262.63 Bn | 247.70 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 232.03 Bn | 212.47 Bn | 1.10 Bn | - |
| 3 | Snowflake | 102.55 Bn | 89.87 Bn | 1.04 Bn | - |
| 4 | Fortinet | 93.46 Bn | 77.71 Bn | 1.64 Bn | - |
| 5 | Datadog | 66.49 Bn | 47.03 Bn | 959.92 Mn | - |
| 6 | Zscaler | 31.38 Bn | 17.54 Bn | 689.22 Mn | - |
| 7 | Okta | 30.56 Bn | 22.72 Bn | 641.00 Mn | - |
| 8 | MongoDB | 26.92 Bn | 17.39 Bn | 569.77 Mn | - |
| 9 | Baidu | 26.59 Bn | -46.85 Bn | 1.80 Bn | -16.00 Mn |
| 10 | Axon Enterprise | 25.68 Bn | 20.94 Bn | 514.98 Mn | 59.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2025 | 2.35 Mn |
| Jul 31, 2025 | 87,000.00 |
| Apr 30, 2025 | 140,000.00 |
| Jan 31, 2025 | 1.75 Mn |
| Oct 31, 2024 | -3.62 Mn |
| Jul 31, 2024 | -871,000.00 |
| Apr 30, 2024 | -828,000.00 |
| Jan 31, 2024 | -560,000.00 |
| Oct 31, 2023 | -443,000.00 |
| Jul 31, 2023 | -453,000.00 |
| Apr 30, 2023 | -437,000.00 |
| Jan 31, 2023 | -315,000.00 |
| Oct 31, 2022 | -506,000.00 |
API Access
Snowflake Net Income Attributable to Noncontrolling Interests 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=income-from-non-controlling-interests&ticker=SNOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-non-controlling-interests", "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=income-from-non-controlling-interests&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();