Spire Global (SPIR) Times Interest Earned (2020 - 2025)
Spire Global's (SPIR) Times Interest Earned came in at -12.94 for FY2025, compared with -3.40 in FY2024.
Analysis
Spire Global (SPIR) Times Interest Earned (2020 - 2025) Analysis & Trends
Since FY2020, Spire Global has reported Times Interest Earned for 6 years.
- The FY2025 figure stands as the lowest annual Times Interest Earned in data going back to FY2020.
- Business Quant data shows SPIR's Times Interest Earned at -3.40 in FY2024, -3.09 in FY2023, -5.65 in FY2022 and -5.94 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 280.36 Bn | 265.44 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 253.37 Bn | 233.78 Bn | 1.10 Bn | -5.50 |
| 3 | Fortinet | 134.62 Bn | 120.55 Bn | 1.64 Bn | 215.41 |
| 4 | Snowflake | 116.92 Bn | 104.23 Bn | 1.04 Bn | -126.37 |
| 5 | Datadog | 95.78 Bn | 77.42 Bn | 881.34 Mn | 1.68 |
| 6 | Okta | 36.98 Bn | 27.07 Bn | 641.00 Mn | 5.63 |
| 7 | Zscaler | 35.32 Bn | 21.44 Bn | - | - |
| 8 | Axon Enterprise | 32.81 Bn | 27.33 Bn | 546.45 Mn | 1.66 |
| 9 | MongoDB | 28.75 Bn | 19.21 Bn | 569.77 Mn | 30.74 |
| 10 | Spire Global | 351.17 Mn | -36.66 Mn | 6.16 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -10,525.50 |
| Jun 30, 2025 | -13.95 |
| Mar 31, 2025 | -4.44 |
| Dec 31, 2024 | -5.47 |
| Sep 30, 2024 | -2.84 |
| Jun 30, 2024 | -2.59 |
| Mar 31, 2024 | -2.37 |
| Dec 31, 2023 | -2.60 |
| Sep 30, 2023 | -3.56 |
| Jun 30, 2023 | -2.71 |
| Mar 31, 2023 | -3.53 |
| Dec 31, 2022 | -6.17 |
| Sep 30, 2022 | -4.20 |
| Jun 30, 2022 | -5.89 |
| Mar 31, 2022 | -6.58 |
| Dec 31, 2021 | -7.63 |
| Sep 30, 2021 | -7.26 |
| Jun 30, 2021 | -4.08 |
| Mar 31, 2021 | -5.04 |
| Dec 31, 2020 | -3.59 |
API Access
Spire Global 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=SPIR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "ticker": "SPIR", "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=SPIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();