Safe Pro (SPAI) Change in Accured Expenses (2023 - 2026)
Safe Pro's Change in Accured Expenses came in at $22,831 for Q2 2026, compared with -$106,678 a year earlier.
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Analysis
Safe Pro (SPAI) Change in Accured Expenses (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Safe Pro reported Change in Accured Expenses of $243,769; for FY2025, it came in at $180,668.
- Going back by year, Change in Accured Expenses was -$48,995 in FY2024 and $69,041 in FY2023.
- The five-year range for quarterly Change in Accured Expenses is -$210,647 (Q4 2024) to $281,489 (Q3 2025).
- Business Quant data shows SPAI's Change in Accured Expenses at -$71,009 (Q1 2026), $10,458 (Q4 2025) and $281,489 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | - |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 2.10 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 190.00 Mn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 41.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 82.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | -34.00 Mn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 895.00 Mn |
| 10 | Safe Pro | 90.00 Mn | 40.58 Mn | 852,812.00 | 22,831.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22,831.00 |
| Mar 31, 2026 | -71,009.00 |
| Dec 31, 2025 | 10,458.00 |
| Sep 30, 2025 | 281,489.00 |
| Jun 30, 2025 | -106,678.00 |
| Mar 31, 2025 | -4,601.00 |
| Dec 31, 2024 | -210,647.00 |
| Sep 30, 2024 | -182,981.00 |
| Jun 30, 2024 | 157,074.00 |
| Mar 31, 2024 | 187,559.00 |
| Dec 31, 2023 | 129,930.00 |
| Sep 30, 2023 | -30,075.00 |
API Access
Safe Pro Change in Accured 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=change-in-accured-expenses&ticker=SPAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=SPAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();