Snowflake (SNOW) Goodwill & Intangibles (2020 - 2026)
Snowflake's (SNOW) quarterly Goodwill & Intangibles came in at $2.1 billion in Q3 2026, up 41.43% year-over-year from $1.5 billion in Q3 2025, and up 3.87% quarter-over-quarter from $2.0 billion in Q2 2026.
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Analysis
Snowflake (SNOW) Goodwill & Intangibles (2020 - 2026) Analysis & Trends
Snowflake has disclosed Goodwill & Intangibles across 7 years of filings, most recently posting $2.1 billion for Q3 2026.
- In Q3 2026, Goodwill & Intangibles rose 41.43% year-over-year to $2.1 billion; the TTM figure through Jul 2026 stood at $2.1 billion (up 41.43% YoY), while the FY2026 annual figure was $1.4 billion, up 7.99% from the prior year.
- Goodwill & Intangibles came in at $2.1 billion for Q3 2026 at Snowflake, up from $2.0 billion in the prior quarter.
- In the past five years, Goodwill & Intangibles ranged from a high of $2.1 billion in Q3 2026 to a low of $45.6 million in Q1 2022.
- Average Goodwill & Intangibles over 5 years is $1.2 billion, with a median of $1.3 billion recorded in 2024.
- Year-over-year, Goodwill & Intangibles soared 2341.81% in 2022 and climbed 2.07% in 2025.
- Over 5 years, Goodwill & Intangibles stood at $845.3 million in 2022, then jumped by 31.81% to $1.1 billion in 2023, then increased by 13.01% to $1.3 billion in 2024, then gained by 13.69% to $1.4 billion in 2025, then jumped by 44.29% to $2.1 billion in 2026.
- Per Business Quant data, the three most recent Goodwill & Intangibles figures were $2.1 billion in Q3 2026, $2.0 billion in Q2 2026, and $1.4 billion in Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.07 Bn |
| Apr 30, 2026 | 1.99 Bn |
| Jan 31, 2026 | 1.44 Bn |
| Oct 31, 2025 | 1.43 Bn |
| Jul 31, 2025 | 1.46 Bn |
| Apr 30, 2025 | 1.31 Bn |
| Jan 31, 2025 | 1.33 Bn |
| Oct 31, 2024 | 1.26 Bn |
| Jul 31, 2024 | 1.27 Bn |
| Apr 30, 2024 | 1.28 Bn |
| Jan 31, 2024 | 1.31 Bn |
| Oct 31, 2023 | 1.11 Bn |
| Jul 31, 2023 | 1.12 Bn |
| Apr 30, 2023 | 967.67 Mn |
| Jan 31, 2023 | 843.38 Mn |
| Oct 31, 2022 | 845.26 Mn |
| Jul 31, 2022 | 674.87 Mn |
| Apr 30, 2022 | 684.47 Mn |
| Jan 31, 2022 | 45.59 Mn |
| Oct 31, 2021 | 34.62 Mn |
API Access
Snowflake Goodwill & 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=goodwill-and-intangibles&ticker=SNOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-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=goodwill-and-intangibles&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();