Dorchester Minerals (DMLP) Operating Expenses (2010 - 2026)
Dorchester Minerals (DMLP) reported Operating Expenses of $25.2 million for Q2 2026, up 25.7% from $20.05 million a year earlier but down 15.2% from the prior quarter.
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Analysis
Dorchester Minerals (DMLP) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Dorchester Minerals' Operating Expenses came in at $104.85 million, up 19.0% year-over-year; for FY2025, it was $95.48 million, up 38.2% from FY2024.
- Operating Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 30.7% (FY2020 to FY2025).
- By year, Operating Expenses came in at $69.07 million in FY2024 (+39.0%), $49.68 million in FY2023 (+23.6%), $40.19 million in FY2022 (+72.9%) and $23.25 million in FY2021 (-7.2%).
- Five-year quarterly Operating Expenses spans a low of $5.94 million in Q3 2021 and a high of $29.74 million in Q1 2026.
- Year over year, Operating Expenses has now increased in each of the last 19 quarters, with growth averaging 43.4% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q2 2022 (growth of 108.9%); the low point was Q3 2021 (a decline of 14.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $29.74 million (Q1 2026), $25.67 million (Q4 2025) and $24.24 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 742.97 Bn | 699.45 Bn | - | 96.59 Bn |
| 2 | Chevron | 446.98 Bn | 419.10 Bn | 33.45 Bn | 53.37 Bn |
| 3 | Shell | 310.50 Bn | 240.25 Bn | 30.13 Bn | 8.70 Bn |
| 4 | TotalEnergies SE | 198.48 Bn | 79.06 Bn | 61.77 Bn | 46.44 Bn |
| 5 | Conocophillips | 177.33 Bn | 150.04 Bn | 12.81 Bn | 2.43 Bn |
| 6 | Equinor Asa | 119.71 Bn | 34.16 Bn | - | -22.18 Bn |
| 7 | Phillips 66 | 116.57 Bn | 104.36 Bn | 8.38 Bn | 47.07 Bn |
| 8 | Canadian Natural Resources | 113.84 Bn | 110.85 Bn | 8.84 Bn | 114.95 Mn |
| 9 | Suncor Energy | 96.55 Bn | 82.30 Bn | - | - |
| 10 | Dorchester Minerals | 1.46 Bn | 1.27 Bn | - | 25.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.20 Mn |
| Mar 31, 2026 | 29.74 Mn |
| Dec 31, 2025 | 25.67 Mn |
| Sep 30, 2025 | 24.24 Mn |
| Jun 30, 2025 | 20.05 Mn |
| Mar 31, 2025 | 25.52 Mn |
| Dec 31, 2024 | 25.47 Mn |
| Sep 30, 2024 | 17.06 Mn |
| Jun 30, 2024 | 13.73 Mn |
| Mar 31, 2024 | 12.81 Mn |
| Dec 31, 2023 | 13.64 Mn |
| Sep 30, 2023 | 13.13 Mn |
| Jun 30, 2023 | 10.82 Mn |
| Mar 31, 2023 | 12.10 Mn |
| Dec 31, 2022 | 10.43 Mn |
| Sep 30, 2022 | 9.86 Mn |
| Jun 30, 2022 | 10.14 Mn |
| Mar 31, 2022 | 9.78 Mn |
| Dec 31, 2021 | 6.47 Mn |
| Sep 30, 2021 | 5.94 Mn |
API Access
Dorchester Minerals 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=DMLP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "DMLP", "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=DMLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();