NAPC Defense (NAPD) Operating Expenses (2017 - 2026)
NAPC Defense's Operating Expenses came in at $3.73 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), compared with $258,059 a year earlier.
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Analysis
NAPC Defense (NAPD) Operating Expenses (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, NAPC Defense reported Operating Expenses of $4.83 million, up 100.8% year-over-year; for FY2026 (ended Apr 30, 2026), it was $1.35 million, down 45.5% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 17.5% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $2.48 million in FY2025 (+547.1%), $384,007 in FY2024 (-30.1%), $549,022 in FY2023 (-16.7%) and $658,770 in FY2022 (+9.1%).
- The fiscal Q1 2027 figure represents the highest quarterly Operating Expenses in data going back to fiscal Q4 2017.
- Year-over-year, Operating Expenses increased in three of the last six quarters, with growth averaging 68.7%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2023 (growth of 536.0%), and the weakest in fiscal Q4 2026 (a decline of 85.8%).
- Business Quant data shows NAPD's Operating Expenses at $241,999 (Q4 2026), $152,297 (Q3 2026) and $700,947 (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 156.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 12.63 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 1.87 Bn |
| 10 | NAPC Defense | 4.91 Mn | 3.38 Mn | 1.55 Mn | 3.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.73 Mn |
| Apr 30, 2026 | 241,999.00 |
| Jan 31, 2026 | 152,297.00 |
| Oct 31, 2025 | 700,947.00 |
| Jul 31, 2025 | 258,059.00 |
| Apr 30, 2025 | 1.71 Mn |
| Jan 31, 2025 | 259,498.00 |
| Oct 31, 2024 | 182,390.00 |
| Jul 31, 2024 | 314,970.00 |
| Apr 30, 2024 | -78,719.00 |
| Jan 31, 2024 | 74,865.00 |
| Oct 31, 2023 | 143,973.00 |
| Jul 31, 2023 | 243,888.00 |
| Apr 30, 2023 | 266,721.00 |
| Jan 31, 2023 | 14,785.00 |
| Oct 31, 2022 | 160,264.00 |
| Jul 31, 2022 | 107,253.00 |
| Apr 30, 2022 | 41,934.00 |
| Jan 31, 2022 | 94,164.00 |
| Oct 31, 2021 | 204,233.00 |
API Access
NAPC Defense 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=operating-expenses&ticker=NAPD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=NAPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();