Snowflake (SNOW) Interest Expenses (2024 - 2026)
Snowflake's Interest Expenses was $2.08 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 0.3% from $2.07 million a year earlier and unchanged from the prior quarter.
Snowflake (SNOW) Interest Expenses (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Snowflake's Interest Expenses was $8.31 million through Jul 31, 2026, up 20.4% year-over-year; for FY2026 (ended Jan 31, 2026), it was $8.3 million, up 200.8% from FY2025.
- In earlier fiscal years, Interest Expenses was $2.76 million in FY2025.
- The fiscal Q2 2027 figure marks the highest quarterly Interest Expenses in data going back to fiscal Q3 2025.
- Compared with a year earlier, Interest Expenses has increased for four straight quarters, with growth averaging 50.6% over the last four quarters.
- Per Business Quant data, SNOW's Interest Expenses in the three fiscal quarters before Q2 2027 was $2.08 million (Q1 2027), $2.08 million (Q4 2026) and $2.08 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 277.52 Bn | 262.59 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 249.50 Bn | 229.90 Bn | 1.10 Bn | 6.05 Mn |
| 3 | Fortinet | 133.40 Bn | 119.33 Bn | 1.64 Bn | 3.20 Mn |
| 4 | Snowflake | 117.12 Bn | 104.44 Bn | 1.04 Bn | 2.08 Mn |
| 5 | Datadog | 94.86 Bn | 76.51 Bn | 881.34 Mn | 3.26 Mn |
| 6 | Okta | 36.37 Bn | 26.46 Bn | 641.00 Mn | -19.00 Mn |
| 7 | Zscaler | 35.35 Bn | 21.47 Bn | - | - |
| 8 | Axon Enterprise | 33.67 Bn | 28.19 Bn | 546.45 Mn | 28.10 Mn |
| 9 | MongoDB | 29.54 Bn | 20.01 Bn | 569.77 Mn | 924,000.00 |
| 10 | F5 | 25.93 Bn | 20.34 Bn | 711.51 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.08 Mn |
| Apr 30, 2026 | 2.08 Mn |
| Jan 31, 2026 | 2.08 Mn |
| Oct 31, 2025 | 2.08 Mn |
| Jul 31, 2025 | 2.07 Mn |
| Apr 30, 2025 | 2.07 Mn |
| Jan 31, 2025 | 2.07 Mn |
| Oct 31, 2024 | 689,000.00 |
Snowflake Interest Expenses 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=interest-expenses&ticker=SNOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();