Safe Pro (SPAI) Receivables (2023 - 2026)
Safe Pro's Receivables was $1.25 million in Q2 2026, compared with $40,394 a year earlier.
Analysis
Safe Pro (SPAI) Receivables (2023 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Safe Pro came in at $100,028, down 19.1% from FY2024.
- In earlier years, Receivables was $123,686 in FY2024 (-24.3%) and $163,329 in FY2023.
- The Q2 2026 figure marks the highest quarterly Receivables in data going back to Q4 2023.
- Compared with a year earlier, Receivables was higher in 1 of the last five quarters, with growth averaging 32.7%.
- Per Business Quant data, SPAI's Receivables in the three quarters before Q2 2026 was $61,723 (Q1 2026), $100,028 (Q4 2025) and $40,394 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 15.83 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 32.92 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 13.18 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 19.39 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 1.04 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 48.50 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 3.62 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 10.26 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 10.85 Bn |
| 10 | Safe Pro | 81.86 Mn | 32.44 Mn | 852,812.00 | 1.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.25 Mn |
| Mar 31, 2026 | 61,723.00 |
| Dec 31, 2025 | 100,028.00 |
| Sep 30, 2025 | 40,394.00 |
| Jun 30, 2025 | 40,394.00 |
| Mar 31, 2025 | 15,785.00 |
| Dec 31, 2024 | 123,686.00 |
| Sep 30, 2024 | 221,470.00 |
| Jun 30, 2024 | 41,375.00 |
| Dec 31, 2023 | 163,329.00 |
API Access
Safe Pro Receivables 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=receivables&ticker=SPAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=SPAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();