Dorchester Minerals (DMLP) Other Operating Expenses (2010 - 2026)
Dorchester Minerals (DMLP) reported Other Operating Expenses of $21.44 million for Q2 2026, up 24.5% from $17.23 million a year earlier but down 15.8% from the prior quarter.
Dorchester Minerals (DMLP) Other Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Dorchester Minerals' Other Operating Expenses came in at $90.64 million, up 21.1% year-over-year; for FY2025, it came in at $82.16 million, up 43.8% from FY2024.
- Other Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 36.1% (FY2020 to FY2025).
- By year, Other Operating Expenses came in at $57.14 million in FY2024 (+48.4%), $38.52 million in FY2023 (+20.5%), $31.97 million in FY2022 (+77.0%) and $18.06 million in FY2021 (+2.6%).
- Five-year quarterly Other Operating Expenses spans a low of $5.03 million in Q3 2021 and a high of $25.47 million in Q1 2026.
- Year over year, Other Operating Expenses has now increased in each of the last 12 quarters, with growth averaging 52.0% over the last eight quarters.
- The high point for year-over-year Other Operating Expenses in five years was Q1 2025 (growth of 122.2%); the low point was Q2 2023 (a decline of 5.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $25.47 million (Q1 2026), $22.41 million (Q4 2025) and $21.32 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 743.20 Bn | 699.68 Bn | - |
| 2 | Chevron | 447.03 Bn | 419.15 Bn | 33.45 Bn |
| 3 | Shell | 310.50 Bn | 240.25 Bn | 30.13 Bn |
| 4 | TotalEnergies SE | 198.52 Bn | 79.10 Bn | 61.77 Bn |
| 5 | Conocophillips | 177.09 Bn | 149.80 Bn | 12.81 Bn |
| 6 | Equinor Asa | 119.58 Bn | 34.03 Bn | - |
| 7 | Phillips 66 | 116.56 Bn | 104.35 Bn | 8.38 Bn |
| 8 | Canadian Natural Resources | 113.43 Bn | 110.44 Bn | 8.84 Bn |
| 9 | Suncor Energy | 96.25 Bn | 82.00 Bn | - |
| 10 | Dorchester Minerals | 1.45 Bn | 1.26 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.44 Mn |
| Mar 31, 2026 | 25.47 Mn |
| Dec 31, 2025 | 22.41 Mn |
| Sep 30, 2025 | 21.32 Mn |
| Jun 30, 2025 | 17.23 Mn |
| Mar 31, 2025 | 21.21 Mn |
| Dec 31, 2024 | 22.24 Mn |
| Sep 30, 2024 | 14.18 Mn |
| Jun 30, 2024 | 11.18 Mn |
| Mar 31, 2024 | 9.54 Mn |
| Dec 31, 2023 | 10.74 Mn |
| Sep 30, 2023 | 10.33 Mn |
| Jun 30, 2023 | 8.09 Mn |
| Mar 31, 2023 | 9.36 Mn |
| Dec 31, 2022 | 8.23 Mn |
| Sep 30, 2022 | 7.43 Mn |
| Jun 30, 2022 | 8.58 Mn |
| Mar 31, 2022 | 7.73 Mn |
| Dec 31, 2021 | 5.09 Mn |
| Sep 30, 2021 | 5.03 Mn |
Dorchester Minerals Other 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=other-operating-expenses&ticker=DMLP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=DMLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();