Safe Pro (SPAI) Net Cash Flow (2023 - 2026)
Safe Pro (SPAI) posted Net Cash Flow of -$4.57 million for Q2 2026, compared with -$106,623 a year earlier.
Safe Pro (SPAI) Net Cash Flow (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Net Cash Flow at Safe Pro was $9.42 million; for FY2025, it came in at $14.82 million.
- In prior years, Safe Pro's Net Cash Flow was $1.27 million in FY2024 and -$1.05 million in FY2023.
- The Q2 2026 figure stands as the lowest quarterly Net Cash Flow in data going back to Q3 2023.
- According to Business Quant data, Net Cash Flow for the three prior quarters was -$1.99 million (Q1 2026), $9.2 million (Q4 2025) and $6.79 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | -1.36 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 1.53 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | -2.20 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 1.90 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | -1.87 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 682.00 Mn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | -156.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 217.00 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | -3.17 Bn |
| 10 | Safe Pro | 92.85 Mn | 43.43 Mn | 852,812.00 | -4.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -4.57 Mn |
| Mar 31, 2026 | -1.99 Mn |
| Dec 31, 2025 | 9.20 Mn |
| Sep 30, 2025 | 6.79 Mn |
| Jun 30, 2025 | -106,623.00 |
| Mar 31, 2025 | -1.06 Mn |
| Dec 31, 2024 | -363,996.00 |
| Sep 30, 2024 | 2.16 Mn |
| Jun 30, 2024 | -145.00 |
| Mar 31, 2024 | -303,761.00 |
| Dec 31, 2023 | 63,305.00 |
| Sep 30, 2023 | 3,538.00 |
Safe Pro Net Cash Flow 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=net-cash-flow&ticker=SPAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=SPAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();