Safe Pro (SPAI) Accumulated Expenses (2023 - 2026)
Safe Pro's Accumulated Expenses was $229,941 in Q2 2026, up 77.8% from $129,313 a year earlier and up 11.0% from the prior quarter.
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Analysis
Safe Pro (SPAI) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Safe Pro came in at $278,119, up 208.1% from FY2024.
- In earlier years, Accumulated Expenses was $90,264 in FY2024 (-36.3%) and $141,660 in FY2023.
- Quarterly Accumulated Expenses has moved between $90,264 (Q4 2024) and $278,119 (Q4 2025) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for four straight quarters, with growth averaging 46.9% over the last six quarters.
- Per Business Quant data, SPAI's Accumulated Expenses in the three quarters before Q2 2026 was $207,110 (Q1 2026), $278,119 (Q4 2025) and $260,474 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | Safe Pro | 92.85 Mn | 43.43 Mn | 852,812.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 229,941.00 |
| Mar 31, 2026 | 207,110.00 |
| Dec 31, 2025 | 278,119.00 |
| Sep 30, 2025 | 260,474.00 |
| Jun 30, 2025 | 129,313.00 |
| Mar 31, 2025 | 123,580.00 |
| Dec 31, 2024 | 90,264.00 |
| Sep 30, 2024 | 244,782.00 |
| Jun 30, 2024 | 224,818.00 |
| Dec 31, 2023 | 141,660.00 |
API Access
Safe Pro Accumulated Expenses 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=accumulated-expenses&ticker=SPAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SPAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();