Spire Global (SPIR) Price to Sales (2021 - 2026)
Spire Global's Price to Sales was 11.49 in Q2 2026, up 167.0% from 4.30 a year earlier.
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Analysis
Spire Global (SPIR) Price to Sales (2021 - 2026) Analysis & Trends
For FY2025, Price to Sales at Spire Global came in at 3.63, up 4.6% from FY2024.
- In earlier years, Price to Sales was 3.47 in FY2024 (+91.5%), 1.81 in FY2023 (-14.3%), 2.11 in FY2022 (-82.1%) and 11.78 in FY2021 (-5.7%).
- The Q2 2026 figure marks the highest quarterly Price to Sales since Q4 2021.
- Compared with a year earlier, Price to Sales was higher in six of the last seven quarters, with growth averaging 72.8%.
- The best year-over-year quarter for Price to Sales over five years was Q2 2026 (growth of 167.0%); the worst was Q3 2022 (a decline of 95.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 274.31 Bn | 259.38 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 246.05 Bn | 226.46 Bn | 1.10 Bn |
| 3 | Fortinet | 131.28 Bn | 117.21 Bn | 1.64 Bn |
| 4 | Snowflake | 112.72 Bn | 100.04 Bn | 1.04 Bn |
| 5 | Datadog | 92.41 Bn | 74.05 Bn | 881.34 Mn |
| 6 | Okta | 36.00 Bn | 26.10 Bn | 641.00 Mn |
| 7 | Zscaler | 34.80 Bn | 20.92 Bn | - |
| 8 | Axon Enterprise | 32.30 Bn | 26.83 Bn | 546.45 Mn |
| 9 | MongoDB | 28.30 Bn | 18.77 Bn | 569.77 Mn |
| 10 | Spire Global | 346.79 Mn | -41.03 Mn | 6.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.49 |
| Dec 31, 2025 | 3.63 |
| Sep 30, 2025 | 4.86 |
| Jun 30, 2025 | 4.30 |
| Mar 31, 2025 | 2.65 |
| Dec 31, 2024 | 3.47 |
| Sep 30, 2024 | 2.35 |
| Jun 30, 2024 | 2.67 |
| Mar 31, 2024 | 2.84 |
| Dec 31, 2023 | 1.81 |
| Sep 30, 2023 | 1.27 |
| Jun 30, 2023 | 1.08 |
| Mar 31, 2023 | 1.39 |
| Dec 31, 2022 | 2.11 |
| Sep 30, 2022 | 2.25 |
| Jun 30, 2022 | 2.84 |
| Mar 31, 2022 | 6.16 |
| Dec 31, 2021 | 11.78 |
| Sep 30, 2021 | 51.23 |
| Jun 30, 2021 | 12.56 |
API Access
Spire Global Price to Sales 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=price-to-sales&ticker=SPIR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=SPIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();