Snowflake (SNOW) Intangibles (2020 - 2026)
Snowflake's (SNOW) quarterly Intangibles came in at $426.5 million in Q3 2026, up 49.42% year-over-year from $285.4 million in Q3 2025, and down 5.5% quarter-over-quarter from $451.4 million in Q2 2026.
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Analysis
Snowflake (SNOW) Intangibles (2020 - 2026) Analysis & Trends
Snowflake has disclosed Intangibles across 7 years of filings, most recently posting $426.5 million for Q3 2026.
- In Q3 2026, Intangibles rose 49.42% year-over-year to $426.5 million; the TTM figure through Jul 2026 stood at $426.5 million (up 49.42% YoY), while the FY2026 annual figure was $246.9 million, down 11.19% from the prior year.
- Intangibles came in at $426.5 million for Q3 2026 at Snowflake, down from $451.4 million in the prior quarter.
- In the past five years, Intangibles ranged from a high of $451.4 million in Q2 2026 to a low of $37.1 million in Q1 2022.
- Average Intangibles over 5 years is $268.4 million, with a median of $268.5 million recorded in 2024.
- Year-over-year, Intangibles surged 649.67% in 2022 and fell 18.57% in 2024.
- Over 5 years, Intangibles stood at $196.2 million in 2022, then surged by 68.11% to $329.8 million in 2023, then decreased by 18.57% to $268.5 million in 2024, then slipped by 4.44% to $256.6 million in 2025, then surged by 66.24% to $426.5 million in 2026.
- Per Business Quant data, the three most recent Intangibles figures were $426.5 million in Q3 2026, $451.4 million in Q2 2026, and $246.9 million in Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn | 7.02 Bn |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn | 273.24 Mn |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn | 77.10 Mn |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn | 426.53 Mn |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn | 23.16 Mn |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn | 281.58 Mn |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - | 214.36 Mn |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn | 30.73 Mn |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn | 80.00 Mn |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn | 736.00 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();