Snowflake (SNOW) Amortization of Deferred Charges (2020 - 2026)
Snowflake's Amortization of Deferred Charges was $59.74 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 80.2% from $33.16 million a year earlier and up 3.5% from the prior quarter.
Snowflake (SNOW) Amortization of Deferred Charges (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Snowflake's Amortization of Deferred Charges was $198.93 million through Jul 31, 2026, up 86.8% year-over-year; for FY2026 (ended Jan 31, 2026), it was $140.42 million, up 50.8% from FY2025.
- Amortization of Deferred Charges has now increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 37.2% (FY2021 to FY2026).
- In earlier fiscal years, Amortization of Deferred Charges was $93.13 million in FY2025 (+24.5%), $74.79 million in FY2024 (+30.2%), $57.45 million in FY2023 (+51.7%) and $37.88 million in FY2022 (+31.3%).
- The fiscal Q2 2027 figure marks the highest quarterly Amortization of Deferred Charges in data going back to fiscal Q4 2020.
- Compared with a year earlier, Amortization of Deferred Charges has increased for 23 straight quarters, with growth averaging 56.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Amortization of Deferred Charges ran from 13.3% in fiscal Q1 2026 to 123.8% in fiscal Q1 2027.
- Per Business Quant data, SNOW's Amortization of Deferred Charges in the three fiscal quarters before Q2 2027 was $57.73 million (Q1 2027), $45 million (Q4 2026) and $36.46 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 59.74 Mn |
| Apr 30, 2026 | 57.73 Mn |
| Jan 31, 2026 | 45.00 Mn |
| Oct 31, 2025 | 36.46 Mn |
| Jul 31, 2025 | 33.16 Mn |
| Apr 30, 2025 | 25.80 Mn |
| Jan 31, 2025 | 24.29 Mn |
| Oct 31, 2024 | 23.25 Mn |
| Jul 31, 2024 | 22.82 Mn |
| Apr 30, 2024 | 22.76 Mn |
| Jan 31, 2024 | 20.07 Mn |
| Oct 31, 2023 | 18.87 Mn |
| Jul 31, 2023 | 18.18 Mn |
| Apr 30, 2023 | 17.67 Mn |
| Jan 31, 2023 | 15.92 Mn |
| Oct 31, 2022 | 14.55 Mn |
| Jul 31, 2022 | 13.77 Mn |
| Apr 30, 2022 | 13.20 Mn |
| Jan 31, 2022 | 11.05 Mn |
| Oct 31, 2021 | 9.67 Mn |
Snowflake Amortization of Deferred Charges 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=amortization-of-deferred-charges&ticker=SNOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-of-deferred-charges", "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=amortization-of-deferred-charges&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();