Knife River (KNF) Operating Expenses (2022 - 2026)
Knife River (KNF) posted Operating Expenses of $81.65 million for Q2 2026, up 18.0% from $69.17 million a year earlier but down 2.2% from the prior quarter.
Knife River (KNF) Operating Expenses (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Knife River was $314.34 million, up 13.8% year-over-year; for FY2025, it was $291.46 million, up 14.9% from FY2024.
- Annual Operating Expenses has increased for four consecutive years, with a four-year compound annual growth rate of 16.9% (FY2021 to FY2025).
- In prior years, Knife River's Operating Expenses was $253.64 million in FY2024 (+4.6%), $242.54 million in FY2023 (+45.6%), $166.6 million in FY2022 (+6.9%) and $155.87 million in FY2021.
- Quarterly Operating Expenses has run from a low of $36.38 million in Q4 2022 to a high of $83.46 million in Q1 2026 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last six quarters, with growth averaging 11.7% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2023, with growth of 106.9%; the weakest was Q4 2024, with a decline of 6.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $83.46 million (Q1 2026), $80.1 million (Q4 2025) and $69.13 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Crh Public | 55.76 Bn | 42.27 Bn | 4.29 Bn | 2.27 Bn |
| 2 | Vulcan Materials | 31.85 Bn | 31.16 Bn | 625.50 Mn | 141.30 Mn |
| 3 | Martin Marietta Materials | 29.47 Bn | 28.97 Bn | 495.00 Mn | 134.00 Mn |
| 4 | Amrize | 20.91 Bn | 16.33 Bn | 993.00 Mn | 283.00 Mn |
| 5 | Cemex Sab De Cv | 13.79 Bn | 13.79 Bn | 1.62 Bn | -937.35 Mn |
| 6 | Eagle Materials | 5.42 Bn | 4.43 Bn | 161.25 Mn | 20.20 Mn |
| 7 | Knife River | 3.03 Bn | 2.65 Bn | 162.77 Mn | 81.65 Mn |
| 8 | Titan America | 2.54 Bn | 2.02 Bn | 113.15 Mn | -36.15 Mn |
| 9 | Loma Negra Compania Industrial Argentina Sociedad Anonima | 1.09 Bn | -45.49 Bn | - | - |
| 10 | Cementos Pacasmayo Saa | 1.03 Bn | 356.57 Mn | 221.13 Mn | -84.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 81.65 Mn |
| Mar 31, 2026 | 83.46 Mn |
| Dec 31, 2025 | 80.10 Mn |
| Sep 30, 2025 | 69.13 Mn |
| Jun 30, 2025 | 69.17 Mn |
| Mar 31, 2025 | 73.06 Mn |
| Dec 31, 2024 | 70.07 Mn |
| Sep 30, 2024 | 63.87 Mn |
| Jun 30, 2024 | 59.47 Mn |
| Mar 31, 2024 | 60.22 Mn |
| Dec 31, 2023 | 75.26 Mn |
| Sep 30, 2023 | 59.17 Mn |
| Jun 30, 2023 | 59.45 Mn |
| Mar 31, 2023 | 48.66 Mn |
| Dec 31, 2022 | 36.38 Mn |
| Sep 30, 2022 | 41.57 Mn |
| Jun 30, 2022 | 42.93 Mn |
| Mar 31, 2022 | 45.72 Mn |
Knife River 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=KNF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "KNF", "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=KNF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();