NAPC Defense (NAPD) Other Operating Expenses (2017 - 2026)
NAPC Defense (NAPD) posted Other Operating Expenses of $53,669 for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 64.8% from $152,586 a year earlier and down 54.1% from the prior quarter.
NAPC Defense (NAPD) Other Operating Expenses (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Other Operating Expenses at NAPC Defense was $288,538, down 19.4% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $387,455, up 41.0% from FY2025.
- Annual Other Operating Expenses has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 6.2% (FY2021 to FY2026).
- In prior fiscal years, NAPC Defense's Other Operating Expenses was $274,864 in FY2025 (+10.5%), $248,722 in FY2024 (+67.1%), $148,807 in FY2023 (+24.9%) and $119,157 in FY2022 (-58.5%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Other Operating Expenses since fiscal Q4 2025.
- On a year-over-year basis, Other Operating Expenses increased in four of the last eight quarters, with growth averaging 27.4%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was fiscal Q4 2023, with growth of 219.9%; the weakest was fiscal Q3 2023, with a decline of 87.3%.
- According to Business Quant data, Other Operating Expenses for the three prior fiscal quarters was $116,819 (Q4 2026), $59,699 (Q3 2026) and $58,351 (Q2 2026).
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 | NAPC Defense | 4.91 Mn | 3.38 Mn | 1.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 53,669.00 |
| Apr 30, 2026 | 116,819.00 |
| Jan 31, 2026 | 59,699.00 |
| Oct 31, 2025 | 58,351.00 |
| Jul 31, 2025 | 152,586.00 |
| Apr 30, 2025 | 48,044.00 |
| Jan 31, 2025 | 95,574.00 |
| Oct 31, 2024 | 61,629.00 |
| Jul 31, 2024 | 69,617.00 |
| Apr 30, 2024 | 43,038.00 |
| Jan 31, 2024 | 50,222.00 |
| Oct 31, 2023 | 98,754.00 |
| Jul 31, 2023 | 56,708.00 |
| Apr 30, 2023 | 60,929.00 |
| Jan 31, 2023 | 3,500.00 |
| Oct 31, 2022 | 60,892.00 |
| Jul 31, 2022 | 23,486.00 |
| Apr 30, 2022 | 19,049.00 |
| Jan 31, 2022 | 27,550.00 |
| Oct 31, 2021 | 22,150.00 |
NAPC Defense Other Operating 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=other-operating-expenses&ticker=NAPD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "NAPD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=NAPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();