Safe Pro (SPAI) Price to Book (2024 - 2026)
Safe Pro's (SPAI) Price to Book came in at 7.37 for Q2 2026, down 55.3% from 16.47 a year earlier but up 44.8% from the prior quarter.
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Analysis
Safe Pro (SPAI) Price to Book (2024 - 2026) Analysis & Trends
For FY2025, Safe Pro's Price to Book stood at 3.97, down 62.2% from FY2024.
- In prior years, Safe Pro's Price to Book was 10.49 in FY2024.
- Quarterly Price to Book has run from a low of 3.97 in Q4 2025 to a high of 16.47 in Q2 2025 over five years.
- On a year-over-year basis, Price to Book has declined in each of the last three quarters, with an average decline of 15.9% over the last four quarters.
- According to Business Quant data, Price to Book for the three prior quarters was 5.09 (Q1 2026), 3.97 (Q4 2025) and 15.68 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.20 Bn | 278.20 Bn | 4.68 Bn |
| 2 | Rtx | 249.38 Bn | 222.59 Bn | 5.13 Bn |
| 3 | Boeing | 152.06 Bn | 58.76 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 116.66 Bn | 103.39 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 91.36 Bn | 86.97 Bn | 951.00 Mn |
| 6 | General Dynamics | 90.03 Bn | 77.14 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.17 Bn | 70.53 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.46 Bn | 57.71 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.76 Bn | 20.21 Bn | 3.65 Bn |
| 10 | Safe Pro | 92.24 Mn | 42.82 Mn | 852,812.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.37 |
| Mar 31, 2026 | 5.09 |
| Dec 31, 2025 | 3.97 |
| Sep 30, 2025 | 15.68 |
| Jun 30, 2025 | 16.47 |
| Mar 31, 2025 | 12.46 |
| Dec 31, 2024 | 10.49 |
| Sep 30, 2024 | 7.36 |
API Access
Safe Pro 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=SPAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "SPAI", "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=SPAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();