Safe Pro (SPAI) Price to Sales (2024 - 2026)
Safe Pro's (SPAI) Price to Sales was 30.60 for Q2 2026, up 8.3% from 28.26 a year earlier but down 35.9% from the prior quarter.
Analysis
Safe Pro (SPAI) Price to Sales (2024 - 2026) Analysis & Trends
For FY2025, Price to Sales at Safe Pro was 115.93, up 518.6% from FY2024.
- By year, Price to Sales came in at 18.74 in FY2024.
- Five-year quarterly Price to Sales spans a low of 16.09 in Q1 2025 and a high of 115.93 in Q4 2025.
- Year over year, Price to Sales has now increased in each of the last four quarters, with growth averaging 286.6% over the last four quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at 47.77 (Q1 2026), 115.93 (Q4 2025) and 104.44 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn |
| 10 | Safe Pro | 90.00 Mn | 40.58 Mn | 852,812.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.60 |
| Mar 31, 2026 | 47.77 |
| Dec 31, 2025 | 115.93 |
| Sep 30, 2025 | 104.44 |
| Jun 30, 2025 | 28.26 |
| Mar 31, 2025 | 16.09 |
| Dec 31, 2024 | 18.74 |
| Sep 30, 2024 | 19.98 |
API Access
Safe Pro 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=SPAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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-sales&ticker=SPAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();