NPK International (NPKI) Operating Expenses (2010 - 2026)
NPK International's (NPKI) quarterly Operating Expenses came in at $14.2 million in Q2 2026, up 3.68% year-over-year from $13.7 million in Q2 2025, and up 7.35% quarter-over-quarter from $13.2 million in Q1 2026.
NPK International (NPKI) Operating Expenses (2010 - 2026) Analysis & Trends
NPK International has disclosed Operating Expenses across 17 years of filings, most recently posting $14.2 million for Q2 2026.
- In Q2 2026, Operating Expenses rose 3.68% year-over-year to $14.2 million; the TTM figure through Jun 2026 stood at $56.0 million (up 18.8% YoY), while the FY2025 annual figure was $54.0 million, up 17.34% from the prior year.
- Operating Expenses came in at $14.2 million for Q2 2026 at NPK International, up from $13.2 million in the prior quarter.
- In the past five years, Operating Expenses ranged from a high of $25.6 million in Q2 2023 to a low of -$24.2 million in Q4 2022.
- Average Operating Expenses over 5 years is $14.0 million, with a median of $13.5 million recorded in 2025.
- Year-over-year, Operating Expenses plunged 190.63% in 2022 and jumped 142.37% in 2023.
- Over 5 years, Operating Expenses stood at -$24.2 million in 2022, then surged by 142.37% to $10.2 million in 2023, then gained by 4.53% to $10.7 million in 2024, then surged by 43.3% to $15.4 million in 2025, then slipped by 7.76% to $14.2 million in 2026.
- Per Business Quant data, the three most recent Operating Expenses figures were $14.2 million in Q2 2026, $13.2 million in Q1 2026, and $15.4 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Sunbelt Rentals Holdings | 30.16 Bn | 30.13 Bn | 1.25 Bn | 989.00 Mn |
| 2 | Herc Holdings | 4.52 Bn | 4.48 Bn | 713.00 Mn | 158.00 Mn |
| 3 | EquipmentShare.com | 3.88 Bn | 3.43 Bn | 411.00 Mn | 332.00 Mn |
| 4 | WillScot Holdings | 3.29 Bn | 3.29 Bn | 306.26 Mn | 165.71 Mn |
| 5 | Mcgrath Rentcorp | 2.71 Bn | 2.71 Bn | 107.91 Mn | 56.44 Mn |
| 6 | Target Hospitality | 2.13 Bn | 2.12 Bn | 15.80 Mn | 18.75 Mn |
| 7 | Custom Truck One Source | 2.12 Bn | 2.11 Bn | 123.97 Mn | 77.36 Mn |
| 8 | NPK International | 1.08 Bn | 1.07 Bn | 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();