Spire Global (SPIR) Operating Leases (2022 - 2026)
Spire Global's Operating Leases was $6.8 million in Q2 2026, down 26.0% from $9.18 million a year earlier.
Analysis
Spire Global (SPIR) Operating Leases (2022 - 2026) Analysis & Trends
At the end of FY2025, Operating Leases at Spire Global came in at $8.76 million, down 8.8% from FY2024.
- Operating Leases shows a three-year compound annual growth rate of -6.8% (FY2022 to FY2025).
- In earlier years, Operating Leases was $9.6 million in FY2024 (-26.6%), $13.08 million in FY2023 (+20.9%) and $10.82 million in FY2022.
- The Q2 2026 figure marks the lowest quarterly Operating Leases in data going back to Q1 2022.
- The best year-over-year quarter for Operating Leases over five years was Q3 2023 (growth of 50.1%); the worst was Q1 2025 (a decline of 27.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | Fortinet | 134.62 Bn | 120.55 Bn | 1.64 Bn |
| 4 | Snowflake | 116.92 Bn | 104.23 Bn | 1.04 Bn |
| 5 | Datadog | 95.78 Bn | 77.42 Bn | 881.34 Mn |
| 6 | Okta | 36.98 Bn | 27.07 Bn | 641.00 Mn |
| 7 | Zscaler | 35.32 Bn | 21.44 Bn | - |
| 8 | Axon Enterprise | 32.81 Bn | 27.33 Bn | 546.45 Mn |
| 9 | MongoDB | 28.75 Bn | 19.21 Bn | 569.77 Mn |
| 10 | Spire Global | 351.17 Mn | -36.66 Mn | 6.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.80 Mn |
| Dec 31, 2025 | 8.76 Mn |
| Sep 30, 2025 | 8.35 Mn |
| Jun 30, 2025 | 9.18 Mn |
| Mar 31, 2025 | 9.06 Mn |
| Dec 31, 2024 | 9.60 Mn |
| Sep 30, 2024 | 10.81 Mn |
| Jun 30, 2024 | 11.79 Mn |
| Mar 31, 2024 | 12.49 Mn |
| Dec 31, 2023 | 13.08 Mn |
| Sep 30, 2023 | 13.05 Mn |
| Jun 30, 2023 | 12.51 Mn |
| Mar 31, 2023 | 11.52 Mn |
| Dec 31, 2022 | 10.82 Mn |
| Sep 30, 2022 | 8.69 Mn |
| Jun 30, 2022 | 9.44 Mn |
| Mar 31, 2022 | 10.09 Mn |
API Access
Spire Global Operating Leases 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=operating-leases&ticker=SPIR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=SPIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();