Safe Pro (SPAI) Capital Expenditures (2023 - 2026)
Safe Pro's Capital Expenditures was $60,136 in Q2 2026, compared with $2,787 a year earlier and up 24.8% from the prior quarter.
Safe Pro (SPAI) Capital Expenditures (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Safe Pro's Capital Expenditures was $136,110 through Jun 30, 2026, up 301.2% year-over-year; for FY2025, it came in at $48,808, down 23.5% from FY2024.
- In earlier years, Capital Expenditures was $63,801 in FY2024 (+111.5%) and $30,172 in FY2023.
- The Q2 2026 figure marks the highest quarterly Capital Expenditures in data going back to Q4 2023.
- Per Business Quant data, SPAI's Capital Expenditures in the three quarters before Q2 2026 was $48,200 (Q1 2026), $22,773 (Q4 2025) and $5,001 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 335.00 Mn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 669.00 Mn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 733.00 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 318.00 Mn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 104.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 234.00 Mn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 55.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 302.00 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 315.00 Mn |
| 10 | Safe Pro | 92.85 Mn | 43.43 Mn | 852,812.00 | 60,136.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60,136.00 |
| Mar 31, 2026 | 48,200.00 |
| Dec 31, 2025 | 22,773.00 |
| Sep 30, 2025 | 5,001.00 |
| Jun 30, 2025 | 2,787.00 |
| Mar 31, 2025 | 18,247.00 |
| Dec 31, 2024 | 10,000.00 |
| Sep 30, 2024 | 2,888.00 |
| Dec 31, 2023 | 1,423.00 |
Safe Pro Capital Expenditures 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=capital-expenditures&ticker=SPAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=SPAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();