Snowflake (SNOW) Intangibles (2020 - 2026)
Snowflake's Intangibles was $426.53 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 49.4% from $285.45 million a year earlier but down 5.5% from the prior quarter.
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Analysis
Snowflake (SNOW) Intangibles (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Intangibles at Snowflake came in at $246.92 million, down 11.2% from FY2025.
- Intangibles shows a five-year compound annual growth rate of 72.7% (FY2021 to FY2026).
- In earlier fiscal years, Intangibles was $278.03 million in FY2025 (-16.1%), $331.41 million in FY2024 (+78.2%), $186.01 million in FY2023 (+400.8%) and $37.14 million in FY2022 (+130.8%).
- Quarterly Intangibles has moved between $26.17 million (fiscal Q3 2022) and $451.36 million (fiscal Q1 2027) over five years.
- Compared with a year earlier, Intangibles was higher in two of the last eight quarters, with growth averaging 7.4%.
- The best year-over-year quarter for Intangibles over five years was fiscal Q3 2023 (growth of 649.7%); the worst was fiscal Q3 2025 (a decline of 18.6%).
- Per Business Quant data, SNOW's Intangibles in the three fiscal quarters before Q2 2027 was $451.36 million (Q1 2027), $246.92 million (Q4 2026) and $256.58 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 264.75 Bn | 249.82 Bn | 2.30 Bn | 7.02 Bn |
| 2 | CrowdStrike Holdings | 238.93 Bn | 219.33 Bn | 1.10 Bn | 273.24 Mn |
| 3 | Fortinet | 127.84 Bn | 113.77 Bn | 1.64 Bn | 77.10 Mn |
| 4 | Snowflake | 110.22 Bn | 97.54 Bn | 1.04 Bn | 426.53 Mn |
| 5 | Datadog | 89.46 Bn | 71.10 Bn | 881.34 Mn | 23.16 Mn |
| 6 | Zscaler | 33.91 Bn | 20.03 Bn | - | 214.36 Mn |
| 7 | Okta | 33.86 Bn | 23.96 Bn | 641.00 Mn | 80.00 Mn |
| 8 | Axon Enterprise | 32.92 Bn | 27.44 Bn | 546.45 Mn | 281.58 Mn |
| 9 | MongoDB | 27.85 Bn | 18.31 Bn | 569.77 Mn | 30.73 Mn |
| 10 | F5 | 25.12 Bn | 19.53 Bn | 711.51 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 426.53 Mn |
| Apr 30, 2026 | 451.36 Mn |
| Jan 31, 2026 | 246.92 Mn |
| Oct 31, 2025 | 256.58 Mn |
| Jul 31, 2025 | 285.45 Mn |
| Apr 30, 2025 | 253.94 Mn |
| Jan 31, 2025 | 278.03 Mn |
| Oct 31, 2024 | 268.51 Mn |
| Jul 31, 2024 | 286.54 Mn |
| Apr 30, 2024 | 307.97 Mn |
| Jan 31, 2024 | 331.41 Mn |
| Oct 31, 2023 | 329.77 Mn |
| Jul 31, 2023 | 346.10 Mn |
| Apr 30, 2023 | 256.42 Mn |
| Jan 31, 2023 | 186.01 Mn |
| Oct 31, 2022 | 196.17 Mn |
| Jul 31, 2022 | 172.25 Mn |
| Apr 30, 2022 | 181.85 Mn |
| Jan 31, 2022 | 37.14 Mn |
| Oct 31, 2021 | 26.17 Mn |
API Access
Snowflake Intangibles 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=intangibles&ticker=SNOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();