Spire Global (SPIR) Price to Book (2021 - 2026)
Spire Global's (SPIR) Price to Book was 5.24 for Q2 2026, up 94.6% from 2.69 a year earlier.
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Analysis
Spire Global (SPIR) Price to Book (2021 - 2026) Analysis & Trends
For FY2025, Price to Book at Spire Global was 2.30.
- By year, Price to Book came in at 4.68 in FY2023 (+185.2%), 1.64 in FY2022 (-38.9%) and 2.69 in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Price to Book since Q1 2025.
- Year over year, Price to Book gained in two of the last four quarters, with growth averaging 65.0%.
- The high point for year-over-year Price to Book in five years was Q2 2024 (growth of 452.1%); the low point was Q3 2022 (a decline of 92.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 241.13 Bn | 226.20 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 225.22 Bn | 205.62 Bn | 1.10 Bn |
| 3 | Snowflake | 96.45 Bn | 83.76 Bn | 1.04 Bn |
| 4 | Fortinet | 91.18 Bn | 75.43 Bn | 1.64 Bn |
| 5 | Datadog | 63.71 Bn | 44.26 Bn | 959.92 Mn |
| 6 | Zscaler | 33.62 Bn | 19.77 Bn | 689.22 Mn |
| 7 | Axon Enterprise | 32.92 Bn | 27.45 Bn | 546.45 Mn |
| 8 | Okta | 30.23 Bn | 20.33 Bn | 641.00 Mn |
| 9 | MongoDB | 24.83 Bn | 15.30 Bn | 569.77 Mn |
| 10 | Spire Global | 294.11 Mn | -25.55 Mn | 6.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.24 |
| Dec 31, 2025 | 2.30 |
| Sep 30, 2025 | 2.83 |
| Jun 30, 2025 | 2.69 |
| Mar 31, 2025 | 70.96 |
| Sep 30, 2024 | 8.62 |
| Jun 30, 2024 | 7.06 |
| Mar 31, 2024 | 5.91 |
| Dec 31, 2023 | 4.68 |
| Sep 30, 2023 | 2.18 |
| Jun 30, 2023 | 1.28 |
| Mar 31, 2023 | 1.43 |
| Dec 31, 2022 | 1.64 |
| Sep 30, 2022 | 1.34 |
| Jun 30, 2022 | 1.21 |
| Mar 31, 2022 | 1.74 |
| Dec 31, 2021 | 2.69 |
| Sep 30, 2021 | 18.27 |
API Access
Spire Global Price to Book 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-book&ticker=SPIR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=SPIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();