Safe Pro (SPAI) Cash from Operations (2023 - 2026)
Safe Pro (SPAI) posted Cash from Operations of -$2.88 million for Q2 2026, compared with -$1.04 million a year earlier.
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Analysis
Safe Pro (SPAI) Cash from Operations (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cash from Operations at Safe Pro was -$8.29 million; for FY2025, it came in at -$6.22 million.
- In prior years, Safe Pro's Cash from Operations was -$4.1 million in FY2024 and -$2 million in FY2023.
- The Q2 2026 figure stands as the lowest quarterly Cash from Operations in data going back to Q3 2023.
- According to Business Quant data, Cash from Operations for the three prior quarters was -$1.18 million (Q1 2026), -$2.67 million (Q4 2025) and -$1.56 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 3.26 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 3.55 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 1.36 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 3.24 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 583.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 1.88 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 469.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 1.28 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 1.28 Bn |
| 10 | Safe Pro | 92.85 Mn | 43.43 Mn | 852,812.00 | -2.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.88 Mn |
| Mar 31, 2026 | -1.18 Mn |
| Dec 31, 2025 | -2.67 Mn |
| Sep 30, 2025 | -1.56 Mn |
| Jun 30, 2025 | -1.04 Mn |
| Mar 31, 2025 | -941,751.00 |
| Dec 31, 2024 | -1.03 Mn |
| Sep 30, 2024 | -1.91 Mn |
| Jun 30, 2024 | -591,459.00 |
| Mar 31, 2024 | -568,016.00 |
| Dec 31, 2023 | -251,853.00 |
| Sep 30, 2023 | -581,652.00 |
API Access
Safe Pro Cash from Operations 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=cash-from-operations&ticker=SPAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=SPAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();