Spire Global (SPIR) Accumulated Expenses (2020 - 2026)
Spire Global's Accumulated Expenses came in at $13.65 million for Q2 2026, down 34.7% from $20.9 million a year earlier.
Powered by 
Analysis
Spire Global (SPIR) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Spire Global's Accumulated Expenses was $22.27 million, up 36.1% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 65.1% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $16.36 million in FY2024 (+96.5%), $8.33 million in FY2023 (-1.7%), $8.47 million in FY2022 (+75.6%) and $4.82 million in FY2021 (+166.0%).
- The Q2 2026 figure represents the lowest quarterly Accumulated Expenses since Q3 2024.
- Year-over-year, Accumulated Expenses increased in six of the last seven quarters, with growth averaging 62.3%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q4 2021 (growth of 166.0%), and the weakest in Q2 2026 (a decline of 34.7%).
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 | 13.65 Mn |
| Dec 31, 2025 | 22.27 Mn |
| Sep 30, 2025 | 20.02 Mn |
| Jun 30, 2025 | 20.90 Mn |
| Mar 31, 2025 | 21.99 Mn |
| Dec 31, 2024 | 16.36 Mn |
| Sep 30, 2024 | 11.00 Mn |
| Jun 30, 2024 | 8.53 Mn |
| Mar 31, 2024 | 11.13 Mn |
| Dec 31, 2023 | 8.33 Mn |
| Sep 30, 2023 | 9.65 Mn |
| Jun 30, 2023 | 9.32 Mn |
| Mar 31, 2023 | 7.60 Mn |
| Dec 31, 2022 | 8.47 Mn |
| Sep 30, 2022 | 7.88 Mn |
| Jun 30, 2022 | 8.30 Mn |
| Mar 31, 2022 | 7.74 Mn |
| Dec 31, 2021 | 4.82 Mn |
| Dec 31, 2020 | 1.81 Mn |
| Sep 30, 2020 | 39,586.00 |
API Access
Spire Global Accumulated Expenses 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=accumulated-expenses&ticker=SPIR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SPIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();