Spire Global (SPIR) Interest Coverage Ratio (2020 - 2025)
Spire Global's (SPIR) Interest Coverage Ratio stood at -12.94 in FY2025, compared with -3.40 in FY2024.
Analysis
Spire Global (SPIR) Interest Coverage Ratio (2020 - 2025) Analysis & Trends
Starting with FY2020, Spire Global's Interest Coverage Ratio history includes 6 years.
- The FY2025 figure is the lowest annual Interest Coverage Ratio in data going back to FY2020.
- Per Business Quant data, SPIR's Interest Coverage Ratio was -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) | Interest Cover (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 Interest Coverage Ratio 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-coverage-ratio&ticker=SPIR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-coverage-ratio", "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=interest-coverage-ratio&ticker=SPIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();