Nacco Industries (NC) Operating Expenses (2010 - 2026)
Nacco Industries (NC) posted Operating Expenses of $19.25 million for Q2 2026, down 2.7% from $19.77 million a year earlier and down 2.3% from the prior quarter.
Nacco Industries (NC) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Nacco Industries was $79.16 million, up 6.7% year-over-year; for FY2025, it came in at $77.85 million, up 11.6% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 4.1% (FY2020 to FY2025).
- In prior years, Nacco Industries' Operating Expenses was $69.75 million in FY2024 (-48.2%), $134.72 million in FY2023 (+94.9%), $69.11 million in FY2022 (+16.7%) and $59.22 million in FY2021 (-7.1%).
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q1 2025.
- On a year-over-year basis, Operating Expenses increased in five of the last eight quarters, with growth averaging 1.8%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2023, with growth of 428.1%; the weakest was Q4 2024, with a decline of 76.8%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $19.7 million (Q1 2026), $20.66 million (Q4 2025) and $19.55 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cameco | 37.84 Bn | 33.63 Bn | 190.14 Mn | 9.50 Mn |
| 2 | NexGen Energy | 5.97 Bn | 3.49 Bn | - | 301,459.84 |
| 3 | Warrior Met Coal | 4.65 Bn | 3.35 Bn | 169.64 Mn | 415.17 Mn |
| 4 | Uranium Energy | 4.61 Bn | 3.03 Bn | 10.03 Mn | 45.84 Mn |
| 5 | Core Natural Resources | 4.31 Bn | 2.55 Bn | 252.03 Mn | 985.26 Mn |
| 6 | Alliance Resource Partners | 3.14 Bn | 2.83 Bn | 202.70 Mn | 455.98 Mn |
| 7 | Peabody Energy | 2.97 Bn | 823.82 Mn | - | 953.90 Mn |
| 8 | Energy Fuels | 2.74 Bn | -196.21 Mn | 14.42 Mn | 55.68 Mn |
| 9 | Centrus Energy | 2.66 Bn | -4.67 Bn | 49.90 Mn | 37.00 Mn |
| 10 | Nacco Industries | 280.49 Mn | 79.44 Mn | 15.20 Mn | 19.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.25 Mn |
| Mar 31, 2026 | 19.70 Mn |
| Dec 31, 2025 | 20.66 Mn |
| Sep 30, 2025 | 19.55 Mn |
| Jun 30, 2025 | 19.77 Mn |
| Mar 31, 2025 | 17.87 Mn |
| Dec 31, 2024 | 20.09 Mn |
| Sep 30, 2024 | 16.49 Mn |
| Jun 30, 2024 | 13.24 Mn |
| Mar 31, 2024 | 15.57 Mn |
| Dec 31, 2023 | 86.77 Mn |
| Sep 30, 2023 | 16.85 Mn |
| Jun 30, 2023 | 15.74 Mn |
| Mar 31, 2023 | 15.37 Mn |
| Dec 31, 2022 | 16.43 Mn |
| Sep 30, 2022 | 22.60 Mn |
| Jun 30, 2022 | 14.58 Mn |
| Mar 31, 2022 | 15.50 Mn |
| Dec 31, 2021 | 15.94 Mn |
| Sep 30, 2021 | 14.72 Mn |
Nacco 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=NC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NC", "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=NC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();