Safe Pro (SPAI) EBITDA (2023 - 2026)
Safe Pro (SPAI) posted EBITDA of -$3.18 million for Q2 2026, compared with -$1.81 million a year earlier.
Analysis
Safe Pro (SPAI) EBITDA (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Safe Pro was -$14.47 million; for FY2025, it was -$14.16 million.
- In prior years, Safe Pro's EBITDA was -$6.81 million in FY2024 and -$6.07 million in FY2023.
- Quarterly EBITDA has run from a low of -$4.36 million in Q4 2023 to a high of -$618,454 in Q3 2023 over five years.
- According to Business Quant data, EBITDA for the three prior quarters was -$2.84 million (Q1 2026), -$4.33 million (Q4 2025) and -$4.12 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 316.00 Bn | 269.78 Bn | 4.68 Bn | -5.87 Bn |
| 2 | Rtx | 259.31 Bn | 230.78 Bn | 5.13 Bn | 3.89 Bn |
| 3 | Boeing | 151.28 Bn | 57.97 Bn | 2.41 Bn | 752.00 Mn |
| 4 | Lockheed Martin | 126.32 Bn | 113.05 Bn | 2.45 Bn | 2.88 Bn |
| 5 | General Dynamics | 92.97 Bn | 80.09 Bn | 2.18 Bn | 1.68 Bn |
| 6 | Howmet Aerospace | 85.15 Bn | 80.75 Bn | 951.00 Mn | 795.00 Mn |
| 7 | Northrop Grumman | 76.48 Bn | 65.72 Bn | 2.12 Bn | 1.46 Bn |
| 8 | Motorola Solutions | 76.38 Bn | 72.72 Bn | 1.68 Bn | 957.00 Mn |
| 9 | Honeywell International | 68.02 Bn | 20.15 Bn | 3.65 Bn | 2.10 Bn |
| 10 | Safe Pro | 69.24 Mn | 19.82 Mn | 852,812.00 | -3.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.18 Mn |
| Mar 31, 2026 | -2.84 Mn |
| Dec 31, 2025 | -4.33 Mn |
| Sep 30, 2025 | -4.12 Mn |
| Jun 30, 2025 | -1.81 Mn |
| Mar 31, 2025 | -3.90 Mn |
| Dec 31, 2024 | -1.28 Mn |
| Sep 30, 2024 | -3.32 Mn |
| Jun 30, 2024 | -1.01 Mn |
| Mar 31, 2024 | -987,424.00 |
| Dec 31, 2023 | -4.36 Mn |
| Sep 30, 2023 | -618,454.00 |
| Jun 30, 2023 | -671,057.00 |
API Access
Safe Pro EBITDA 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=ebitda&ticker=SPAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SPAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();