Spire Global (SPIR) Selling, General & Administrative (2020 - 2026)
Spire Global (SPIR) posted Selling, General & Administrative of $14.14 million for Q2 2026, down 17.7% from $17.19 million a year earlier.
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Analysis
Spire Global (SPIR) Selling, General & Administrative (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Spire Global was $60.5 million, down 3.8% year-over-year; for FY2025, it came in at $64.01 million, up 28.7% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 38.6% (FY2020 to FY2025).
- In prior years, Spire Global's Selling, General & Administrative was $49.74 million in FY2024 (+18.4%), $42 million in FY2023 (-6.4%), $44.89 million in FY2022 (+10.9%) and $40.48 million in FY2021 (+223.3%).
- Quarterly Selling, General & Administrative has run from a low of $8.22 million in Q3 2021 to a high of $17.59 million in Q4 2024 over five years.
- On a year-over-year basis, Selling, General & Administrative increased in five of the last seven quarters, with growth averaging 33.9%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q4 2021, with growth of 363.0%; the weakest was Q4 2022, with a decline of 35.0%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 280.36 Bn | 265.44 Bn | 2.30 Bn | 226.00 Mn |
| 2 | CrowdStrike Holdings | 253.37 Bn | 233.78 Bn | 1.10 Bn | 175.95 Mn |
| 3 | Fortinet | 134.62 Bn | 120.55 Bn | 1.64 Bn | 61.10 Mn |
| 4 | Snowflake | 116.92 Bn | 104.23 Bn | 1.04 Bn | 120.59 Mn |
| 5 | Datadog | 95.78 Bn | 77.42 Bn | 881.34 Mn | 86.40 Mn |
| 6 | Okta | 36.98 Bn | 27.07 Bn | 641.00 Mn | 98.00 Mn |
| 7 | Zscaler | 35.32 Bn | 21.44 Bn | - | - |
| 8 | Axon Enterprise | 32.81 Bn | 27.33 Bn | 546.45 Mn | 290.98 Mn |
| 9 | MongoDB | 28.75 Bn | 19.21 Bn | 569.77 Mn | 74.42 Mn |
| 10 | Spire Global | 351.17 Mn | -36.66 Mn | 6.16 Mn | 14.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.14 Mn |
| Dec 31, 2025 | 15.41 Mn |
| Sep 30, 2025 | 13.76 Mn |
| Jun 30, 2025 | 17.19 Mn |
| Mar 31, 2025 | 15.81 Mn |
| Dec 31, 2024 | 17.59 Mn |
| Sep 30, 2024 | 12.30 Mn |
| Jun 30, 2024 | 10.01 Mn |
| Mar 31, 2024 | 9.84 Mn |
| Dec 31, 2023 | 8.24 Mn |
| Sep 30, 2023 | 11.22 Mn |
| Jun 30, 2023 | 10.72 Mn |
| Mar 31, 2023 | 11.82 Mn |
| Dec 31, 2022 | 11.03 Mn |
| Sep 30, 2022 | 9.90 Mn |
| Jun 30, 2022 | 11.27 Mn |
| Mar 31, 2022 | 12.68 Mn |
| Dec 31, 2021 | 16.97 Mn |
| Sep 30, 2021 | 8.22 Mn |
| Jun 30, 2021 | 6.90 Mn |
API Access
Spire Global Selling, General & Administrative 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=selling-general-and-administrative&ticker=SPIR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SPIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();