Snowflake (SNOW) Amortizatization of Intangibles (2020 - 2026)
Snowflake's (SNOW) quarterly Amortizatization of Intangibles came in at $1.1 million in Q3 2026, down 81.09% year-over-year from $5.7 million in Q3 2025, and down 50.98% quarter-over-quarter from $2.2 million in Q2 2026.
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Analysis
Snowflake (SNOW) Amortizatization of Intangibles (2020 - 2026) Analysis & Trends
Snowflake has disclosed Amortizatization of Intangibles across 7 years of filings, most recently posting $1.1 million for Q3 2026.
- In Q3 2026, Amortizatization of Intangibles fell 81.09% year-over-year to $1.1 million; the TTM figure through Jul 2026 stood at $11.7 million (down 63.38% YoY), while the FY2026 annual figure was $21.8 million, down 49.78% from the prior year.
- Amortizatization of Intangibles came in at $1.1 million for Q3 2026 at Snowflake, down from $2.2 million in the prior quarter.
- In the past five years, Amortizatization of Intangibles ranged from a high of $17.7 million in Q3 2023 to a low of -$11.1 million in Q1 2022.
- Average Amortizatization of Intangibles over 5 years is $6.1 million, with a median of $7.7 million recorded in 2025.
- Year-over-year, Amortizatization of Intangibles jumped 2878.72% in 2023 and sank 81.09% in 2026.
- Over 5 years, Amortizatization of Intangibles stood at $545000.0 in 2022, then jumped by 2878.72% to $16.2 million in 2023, then sank by 43.96% to $9.1 million in 2024, then tumbled by 43.94% to $5.1 million in 2025, then slumped by 78.8% to $1.1 million in 2026.
- Per Business Quant data, the three most recent Amortizatization of Intangibles figures were $1.1 million in Q3 2026, $2.2 million in Q2 2026, and $3.3 million in Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amortizatization of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Snowflake | 116.96 Bn | 114.61 Bn | 1.04 Bn | 1.08 Mn |
| 2 | MongoDB | 30.90 Bn | 28.49 Bn | 569.77 Mn | 993,000.00 |
| 3 | Sportradar Group AG | 10.95 Bn | 10.59 Bn | 376.06 Mn | - |
| 4 | Elastic | 9.14 Bn | 7.68 Bn | 356.19 Mn | 1.77 Mn |
| 5 | Genius Sports | 2.86 Bn | 2.70 Bn | 63.79 Mn | 1.81 Mn |
| 6 | Teradata | 2.69 Bn | 2.27 Bn | 243.00 Mn | - |
| 7 | Datavault AI | 128.17 Mn | 128.17 Mn | 2.88 Mn | 600,000.00 |
| 8 | Intermap Technologies | 47.08 Mn | 30.91 Mn | - | 99,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.08 Mn |
| Apr 30, 2026 | 2.21 Mn |
| Jan 31, 2026 | 3.34 Mn |
| Oct 31, 2025 | 5.10 Mn |
| Jul 31, 2025 | 5.72 Mn |
| Apr 30, 2025 | 7.65 Mn |
| Jan 31, 2025 | 9.57 Mn |
| Oct 31, 2024 | 9.10 Mn |
| Jul 31, 2024 | 12.78 Mn |
| Apr 30, 2024 | 11.99 Mn |
| Jan 31, 2024 | 12.30 Mn |
| Oct 31, 2023 | 16.23 Mn |
| Jul 31, 2023 | 17.66 Mn |
| Apr 30, 2023 | 15.33 Mn |
| Jan 31, 2023 | 8.83 Mn |
| Oct 31, 2022 | 545,000.00 |
| Jul 31, 2022 | -4.68 Mn |
| Apr 30, 2022 | -8.20 Mn |
| Jan 31, 2022 | -11.06 Mn |
| Oct 31, 2021 | -11.59 Mn |
API Access
Snowflake Amortizatization of 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=amortizatization-of-intangibles&ticker=SNOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-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=amortizatization-of-intangibles&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();