Spire Global (SPIR) Capital Expenditures (2020 - 2025)
Spire Global (SPIR) reported Capital Expenditures of $11.88 million for Q4 2025, up 133.4% from $5.09 million a year earlier and up 41.6% from the prior quarter.
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Analysis
Spire Global (SPIR) Capital Expenditures (2020 - 2025) Analysis & Trends
For FY2025, Spire Global posted Capital Expenditures of $32.78 million, up 23.3% from FY2024.
- Capital Expenditures has a five-year compound annual growth rate of 26.0% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $26.58 million in FY2024 (+53.2%), $17.35 million in FY2023 (-17.3%), $20.99 million in FY2022 (+36.1%) and $15.42 million in FY2021 (+49.5%).
- The Q4 2025 figure ranks as the highest quarterly Capital Expenditures in data going back to Q4 2020.
- Year over year, Capital Expenditures gained in five of the last eight quarters, with growth averaging 45.1%.
- The high point for year-over-year Capital Expenditures in five years was Q1 2022 (growth of 207.9%); the low point was Q2 2023 (a decline of 58.3%).
- Per Business Quant data, the three quarters before Q4 2025 came in at $8.39 million (Q3 2025), $3.61 million (Q2 2025) and $8.9 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 274.31 Bn | 259.38 Bn | 2.30 Bn | 103.00 Mn |
| 2 | CrowdStrike Holdings | 246.05 Bn | 226.46 Bn | 1.10 Bn | 124.41 Mn |
| 3 | Fortinet | 131.28 Bn | 117.21 Bn | 1.64 Bn | 78.00 Mn |
| 4 | Snowflake | 112.72 Bn | 100.04 Bn | 1.04 Bn | 7.55 Mn |
| 5 | Datadog | 92.41 Bn | 74.05 Bn | 881.34 Mn | 9.89 Mn |
| 6 | Okta | 36.00 Bn | 26.10 Bn | 641.00 Mn | 1.00 Mn |
| 7 | Zscaler | 34.80 Bn | 20.92 Bn | - | - |
| 8 | Axon Enterprise | 32.30 Bn | 26.83 Bn | 546.45 Mn | 21.05 Mn |
| 9 | MongoDB | 28.30 Bn | 18.77 Bn | 569.77 Mn | 2.47 Mn |
| 10 | Spire Global | 346.79 Mn | -41.03 Mn | 6.16 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 11.88 Mn |
| Sep 30, 2025 | 8.39 Mn |
| Jun 30, 2025 | 3.61 Mn |
| Mar 31, 2025 | 8.90 Mn |
| Dec 31, 2024 | 5.09 Mn |
| Sep 30, 2024 | 8.91 Mn |
| Jun 30, 2024 | 5.53 Mn |
| Mar 31, 2024 | 7.06 Mn |
| Dec 31, 2023 | 5.36 Mn |
| Sep 30, 2023 | 5.34 Mn |
| Jun 30, 2023 | 3.44 Mn |
| Mar 31, 2023 | 3.21 Mn |
| Dec 31, 2022 | 5.05 Mn |
| Sep 30, 2022 | 3.46 Mn |
| Jun 30, 2022 | 8.24 Mn |
| Mar 31, 2022 | 4.24 Mn |
| Dec 31, 2021 | 6.11 Mn |
| Sep 30, 2021 | 3.73 Mn |
| Jun 30, 2021 | 4.20 Mn |
| Mar 31, 2021 | 1.38 Mn |
API Access
Spire Global Capital Expenditures 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=capital-expenditures&ticker=SPIR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=SPIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();