NPK International (NPKI) Operating Expenses (2010 - 2026)
NPK International (NPKI) recorded Operating Expenses of $14.16 million in Q2 2026, up 3.7% from $13.66 million a year earlier and up 7.3% from the prior quarter.
NPK International (NPKI) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, NPK International's Operating Expenses came in at $55.98 million as of Jun 30, 2026, up 18.8% year-over-year; for FY2025, it came in at $54.03 million, up 17.3% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of -9.0% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $46.05 million in FY2024 (-9.9%), $51.08 million in FY2023 (+4.7%), $48.78 million in FY2022 (-48.4%) and $94.45 million in FY2021 (+9.1%).
- Quarterly Operating Expenses has ranged from -$24.19 million in Q4 2022 to $26.69 million in Q4 2021 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for seven consecutive quarters, with growth averaging 9.0% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 43.3% in Q4 2025, against a decline of 54.4% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $13.19 million (Q1 2026), $15.35 million (Q4 2025) and $13.28 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 65.40 Bn | 64.16 Bn | 1.73 Bn | 1.18 Bn |
| 2 | W.W. Grainger | 63.07 Bn | 60.67 Bn | 1.98 Bn | 1.18 Bn |
| 3 | Fastenal | 59.20 Bn | 58.13 Bn | 1.06 Bn | 561.80 Mn |
| 4 | Ferguson Enterprises | 44.13 Bn | 41.34 Bn | 2.32 Bn | 1.61 Bn |
| 5 | Sunbelt Rentals Holdings | 31.58 Bn | 31.46 Bn | 1.25 Bn | 989.00 Mn |
| 6 | Reliance | 21.32 Bn | 20.36 Bn | 1.30 Bn | 4.19 Bn |
| 7 | Wesco International | 16.71 Bn | 14.03 Bn | 1.46 Bn | 1.02 Bn |
| 8 | Applied Industrial Technologies | 12.36 Bn | 12.23 Bn | 411.22 Mn | 251.91 Mn |
| 9 | Watsco | 11.52 Bn | 9.20 Bn | 578.93 Mn | 348.99 Mn |
| 10 | NPK International | 920.07 Mn | 864.40 Mn | 30.16 Mn | 14.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.16 Mn |
| Mar 31, 2026 | 13.19 Mn |
| Dec 31, 2025 | 15.35 Mn |
| Sep 30, 2025 | 13.28 Mn |
| Jun 30, 2025 | 13.66 Mn |
| Mar 31, 2025 | 11.75 Mn |
| Dec 31, 2024 | 10.71 Mn |
| Sep 30, 2024 | 11.01 Mn |
| Jun 30, 2024 | 12.75 Mn |
| Mar 31, 2024 | 11.58 Mn |
| Dec 31, 2023 | 10.25 Mn |
| Sep 30, 2023 | 13.91 Mn |
| Jun 30, 2023 | 25.58 Mn |
| Mar 31, 2023 | 25.41 Mn |
| Dec 31, 2022 | -24.19 Mn |
| Sep 30, 2022 | 24.21 Mn |
| Jun 30, 2022 | 24.33 Mn |
| Mar 31, 2022 | 24.43 Mn |
| Dec 31, 2021 | 26.69 Mn |
| Sep 30, 2021 | 23.86 Mn |
NPK International 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=NPKI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NPKI", "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=NPKI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();