Safe Pro (SPAI) EBIT (2023 - 2026)
Safe Pro's EBIT came in at -$3.27 million for Q2 2026, compared with -$1.92 million a year earlier.
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Analysis
Safe Pro (SPAI) EBIT (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Safe Pro reported EBIT of -$14.81 million; for FY2025, it was -$14.55 million.
- Going back by year, EBIT was -$7.15 million in FY2024 and -$6.31 million in FY2023.
- The five-year range for quarterly EBIT is -$4.42 million (Q4 2023) to -$678,218 (Q3 2023).
- Business Quant data shows SPAI's EBIT at -$2.92 million (Q1 2026), -$4.41 million (Q4 2025) and -$4.21 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | -6.18 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 2.81 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 156.00 Mn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 2.48 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 711.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 1.46 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 809.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 1.10 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 1.79 Bn |
| 10 | Safe Pro | 81.86 Mn | 32.44 Mn | 852,812.00 | -3.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.27 Mn |
| Mar 31, 2026 | -2.92 Mn |
| Dec 31, 2025 | -4.41 Mn |
| Sep 30, 2025 | -4.21 Mn |
| Jun 30, 2025 | -1.92 Mn |
| Mar 31, 2025 | -4.01 Mn |
| Dec 31, 2024 | -1.40 Mn |
| Sep 30, 2024 | -3.54 Mn |
| Jun 30, 2024 | -1.12 Mn |
| Mar 31, 2024 | -1.08 Mn |
| Dec 31, 2023 | -4.42 Mn |
| Sep 30, 2023 | -678,218.00 |
| Jun 30, 2023 | -730,337.00 |
API Access
Safe Pro EBIT 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=ebit&ticker=SPAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=SPAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();