Snowflake (SNOW) Times Interest Earned (2024 - 2026)
Snowflake's (SNOW) Times Interest Earned stood at -126.37 in fiscal Q2 2027 (quarter ended Jul 31, 2026), compared with -164.07 a year earlier.
Snowflake (SNOW) Times Interest Earned (2024 - 2026) Analysis & Trends
On a TTM basis, Snowflake's Times Interest Earned came in at -148.76 as of Jul 31, 2026; for FY2026 (ended Jan 31, 2026), it came in at -172.95.
- Across earlier fiscal years, Times Interest Earned came in at -527.73 in FY2025.
- The fiscal Q2 2027 figure is the highest quarterly Times Interest Earned in data going back to fiscal Q3 2025.
- Per Business Quant, the preceding three fiscal quarters came in at -156.80 (Q1 2027), -153.11 (Q4 2026) and -158.78 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 237.52 Bn | 222.59 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 218.24 Bn | 198.64 Bn | 1.10 Bn | -5.50 |
| 3 | Snowflake | 94.45 Bn | 81.77 Bn | 1.04 Bn | -126.37 |
| 4 | Fortinet | 90.72 Bn | 74.98 Bn | 1.64 Bn | 234.77 |
| 5 | Datadog | 62.28 Bn | 42.83 Bn | 959.92 Mn | 23.09 |
| 6 | Zscaler | 33.20 Bn | 19.35 Bn | 689.22 Mn | -5.64 |
| 7 | Axon Enterprise | 32.93 Bn | 27.46 Bn | 546.45 Mn | 1.66 |
| 8 | Okta | 29.53 Bn | 19.63 Bn | 641.00 Mn | 5.63 |
| 9 | Roku | 23.94 Bn | 13.97 Bn | 648.52 Mn | 276.71 |
| 10 | MongoDB | 23.91 Bn | 14.38 Bn | 569.77 Mn | 30.74 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -126.37 |
| Apr 30, 2026 | -156.80 |
| Jan 31, 2026 | -153.11 |
| Oct 31, 2025 | -158.78 |
| Jul 31, 2025 | -164.07 |
| Apr 30, 2025 | -215.96 |
| Jan 31, 2025 | -186.80 |
| Oct 31, 2024 | -530.42 |
Snowflake Times Interest Earned 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=times-interest-earned&ticker=SNOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();