Dorchester Minerals (DMLP) Shares Outstanding (2009 - 2026)
Dorchester Minerals (DMLP) posted Weighted Average Shares Outstanding of 48.82 million for Q3 2026, up 2.4% from 47.67 million a year earlier and up 1.2% from the prior quarter.
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Analysis
Dorchester Minerals (DMLP) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Dorchester Minerals' Weighted Average Shares Outstanding came in at 47.65 million, up 14.0% from FY2024.
- Annual Weighted Average Shares Outstanding has increased for nine consecutive years, with a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- In prior years, Dorchester Minerals' Weighted Average Shares Outstanding was 41.81 million in FY2024 (+7.8%), 38.78 million in FY2023 (+3.1%), 37.62 million in FY2022 (+7.3%) and 35.05 million in FY2021 (+1.1%).
- The Q3 2026 figure stands as the highest quarterly Weighted Average Shares Outstanding in data going back to Q1 2009.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased in each of the last 21 quarters, with growth averaging 10.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Weighted Average Shares Outstanding ranged from 1.1% (Q4 2021) to 19.5% (Q1 2025).
- According to Business Quant data, Weighted Average Shares Outstanding for the three prior quarters was 48.26 million (Q2 2026), 48.26 million (Q1 2026) and 47.65 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 696.20 Bn | 661.07 Bn | 47.44 Bn | 4.14 Bn |
| 2 | Shell | 563.81 Bn | 425.16 Bn | - | 5.89 Bn |
| 3 | Chevron | 432.14 Bn | 404.83 Bn | 31.26 Bn | 1.96 Bn |
| 4 | TotalEnergies SE | 200.31 Bn | 75.66 Bn | 31.61 Bn | 2.19 Bn |
| 5 | Eni Spa | 181.16 Bn | 124.34 Bn | - | 3.02 Bn |
| 6 | Conocophillips | 168.32 Bn | 137.35 Bn | 12.63 Bn | 1.20 Bn |
| 7 | Equinor Asa | 107.41 Bn | 20.34 Bn | 4.49 Bn | 2.59 Bn |
| 8 | Canadian Natural Resources | 103.54 Bn | 97.44 Bn | 9.35 Bn | 2.09 Bn |
| 9 | Phillips 66 | 103.32 Bn | 88.28 Bn | 10.69 Bn | 397.01 Mn |
| 10 | Dorchester Minerals | 1.45 Bn | 1.25 Bn | 46.44 Mn | 48.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 48.82 Mn |
| Jun 30, 2026 | 48.26 Mn |
| Mar 31, 2026 | 48.26 Mn |
| Dec 31, 2025 | 47.65 Mn |
| Sep 30, 2025 | 47.67 Mn |
| Jun 30, 2025 | 47.34 Mn |
| Mar 31, 2025 | 47.34 Mn |
| Dec 31, 2024 | 41.81 Mn |
| Sep 30, 2024 | 40.17 Mn |
| Jun 30, 2024 | 40.09 Mn |
| Mar 31, 2024 | 39.61 Mn |
| Dec 31, 2023 | 38.78 Mn |
| Sep 30, 2023 | 38.79 Mn |
| Jun 30, 2023 | 38.37 Mn |
| Mar 31, 2023 | 38.37 Mn |
| Dec 31, 2022 | 37.62 Mn |
| Sep 30, 2022 | 37.56 Mn |
| Jun 30, 2022 | 37.56 Mn |
| Mar 31, 2022 | 36.99 Mn |
| Dec 31, 2021 | 35.05 Mn |
API Access
Dorchester Minerals Shares Outstanding 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=shares-outstanding&ticker=DMLP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=DMLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();