Spire Global (SPIR) Research & Development (2020 - 2026)
Spire Global's Research & Development came in at $8.18 million for Q2 2026, down 19.8% from $10.2 million a year earlier.
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Analysis
Spire Global (SPIR) Research & Development (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Spire Global reported Research & Development of $36.19 million, up 5.3% year-over-year; for FY2025, it was $36.67 million, up 25.4% from FY2024.
- Research & Development has increased in each of the last three years, with a five-year compound annual growth rate of 12.1% (FY2020 to FY2025).
- Going back by year, Research & Development was $29.24 million in FY2024 (+5.7%), $27.65 million in FY2023 (+25.3%), $22.07 million in FY2022 (-30.2%) and $31.62 million in FY2021 (+52.4%).
- The Q2 2026 figure represents the lowest quarterly Research & Development since Q3 2024.
- Year-over-year, Research & Development increased in four of the last seven quarters, with growth averaging 26.9%.
- The fastest year-over-year change in Research & Development over five years came in Q4 2024 (growth of 111.8%), and the weakest in Q3 2024 (a decline of 29.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 280.36 Bn | 265.44 Bn | 2.30 Bn | 779.00 Mn |
| 2 | CrowdStrike Holdings | 253.37 Bn | 233.78 Bn | 1.10 Bn | 444.20 Mn |
| 3 | Fortinet | 134.62 Bn | 120.55 Bn | 1.64 Bn | 225.00 Mn |
| 4 | Snowflake | 116.92 Bn | 104.23 Bn | 1.04 Bn | 567.48 Mn |
| 5 | Datadog | 95.78 Bn | 77.42 Bn | 881.34 Mn | 477.97 Mn |
| 6 | Okta | 36.98 Bn | 27.07 Bn | 641.00 Mn | 163.00 Mn |
| 7 | Zscaler | 35.32 Bn | 21.44 Bn | - | - |
| 8 | Axon Enterprise | 32.81 Bn | 27.33 Bn | 546.45 Mn | 208.69 Mn |
| 9 | MongoDB | 28.75 Bn | 19.21 Bn | 569.77 Mn | 213.87 Mn |
| 10 | Spire Global | 351.17 Mn | -36.66 Mn | 6.16 Mn | 8.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.18 Mn |
| Dec 31, 2025 | 8.70 Mn |
| Sep 30, 2025 | 9.12 Mn |
| Jun 30, 2025 | 10.20 Mn |
| Mar 31, 2025 | 8.51 Mn |
| Dec 31, 2024 | 10.05 Mn |
| Sep 30, 2024 | 5.63 Mn |
| Jun 30, 2024 | 7.52 Mn |
| Mar 31, 2024 | 6.04 Mn |
| Dec 31, 2023 | 4.75 Mn |
| Sep 30, 2023 | 7.93 Mn |
| Jun 30, 2023 | 7.66 Mn |
| Mar 31, 2023 | 7.32 Mn |
| Dec 31, 2022 | -3.69 Mn |
| Sep 30, 2022 | 8.88 Mn |
| Jun 30, 2022 | 8.23 Mn |
| Mar 31, 2022 | 8.66 Mn |
| Dec 31, 2021 | 9.70 Mn |
| Sep 30, 2021 | 7.80 Mn |
| Jun 30, 2021 | 7.21 Mn |
API Access
Spire Global Research & Development 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=research-and-development&ticker=SPIR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=SPIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();