National Presto Industries (NPK) Operating Expenses (2010 - 2026)
National Presto Industries (NPK) posted Operating Expenses of $8.67 million for Q2 2026, down 7.4% from $9.37 million a year earlier.
National Presto Industries (NPK) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 5, 2026, Operating Expenses at National Presto Industries was $35.88 million, up 3.4% year-over-year; for FY2025, it came in at $35.87 million, up 12.7% from FY2024.
- Annual Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 4.7% (FY2020 to FY2025).
- In prior years, National Presto Industries' Operating Expenses was $31.84 million in FY2024 (+3.4%), $30.78 million in FY2023 (+13.5%), $27.12 million in FY2022 (-20.6%) and $34.15 million in FY2021 (+19.8%).
- Quarterly Operating Expenses has run from a low of $6.49 million in Q3 2022 to a high of $13.96 million in Q4 2021 over five years.
- On a year-over-year basis, Operating Expenses increased in four of the last seven quarters, with growth averaging 10.4%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2021, with growth of 52.7%; the weakest was Q4 2022, with a decline of 50.3%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.65 Bn | 23.31 Bn | 860.34 Mn | 680.96 Mn |
| 2 | Somnigroup International | 13.10 Bn | 12.65 Bn | 817.20 Mn | - |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn | 550.90 Mn |
| 4 | Newell Brands | 2.32 Bn | 1.47 Bn | 812.00 Mn | 529.00 Mn |
| 5 | Sonos | 2.13 Bn | 1.02 Bn | 189.31 Mn | 157.78 Mn |
| 6 | Whirlpool | 2.04 Bn | -1.44 Bn | 442.00 Mn | 412.00 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn | 96.68 Mn |
| 8 | Millerknoll | 1.38 Bn | 756.09 Mn | 395.60 Mn | 344.20 Mn |
| 9 | Arhaus | 1.36 Bn | 443.23 Mn | 172.07 Mn | 117.81 Mn |
| 10 | National Presto Industries | 1.04 Bn | 1.01 Bn | 28.55 Mn | 8.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 8.67 Mn |
| Dec 31, 2025 | 8.62 Mn |
| Sep 28, 2025 | 9.22 Mn |
| Jun 29, 2025 | 9.37 Mn |
| Mar 30, 2025 | 8.66 Mn |
| Dec 31, 2024 | 9.06 Mn |
| Sep 29, 2024 | 7.62 Mn |
| Jun 30, 2024 | 7.96 Mn |
| Mar 31, 2024 | 7.20 Mn |
| Dec 31, 2023 | 6.98 Mn |
| Oct 1, 2023 | 7.90 Mn |
| Jul 2, 2023 | 7.68 Mn |
| Apr 2, 2023 | 8.22 Mn |
| Dec 31, 2022 | 6.94 Mn |
| Oct 2, 2022 | 6.49 Mn |
| Jul 3, 2022 | 7.13 Mn |
| Apr 3, 2022 | 6.57 Mn |
| Dec 31, 2021 | 13.96 Mn |
| Oct 3, 2021 | 6.54 Mn |
| Jul 4, 2021 | 6.29 Mn |
National Presto Industries 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=NPK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NPK", "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=NPK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();