Dorchester Minerals (DMLP) Shares Outstanding (Entity) (2009 - 2026)
Dorchester Minerals' Shares Outstanding (Entity) came in at 50.34 million for Q3 2026, up 4.3% from 48.26 million a year earlier and up 2.5% from the prior quarter.
Dorchester Minerals (DMLP) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
For FY2025, Dorchester Minerals' Shares Outstanding (Entity) was 48.26 million, up 1.9% from FY2024.
- Shares Outstanding (Entity) has increased in each of the last five years, with a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Entity) was 47.34 million in FY2024 (+19.6%), 39.58 million in FY2023 (+3.2%), 38.37 million in FY2022 (+3.7%) and 36.98 million in FY2021 (+6.6%).
- The Q3 2026 figure represents the highest quarterly Shares Outstanding (Entity) in data going back to Q1 2009.
- Year-over-year, Shares Outstanding (Entity) has increased for 22 consecutive quarters, with growth averaging 8.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Entity) ran from 1.9% in Q3 2025 to 19.6% in Q4 2024.
- Business Quant data shows DMLP's Shares Outstanding (Entity) at 49.09 million (Q2 2026), 48.26 million (Q1 2026) and 48.26 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 696.20 Bn | 661.07 Bn | 47.44 Bn | 4.08 Bn |
| 2 | Shell | 563.81 Bn | 425.16 Bn | - | - |
| 3 | Chevron | 432.14 Bn | 404.83 Bn | 31.26 Bn | 1.97 Bn |
| 4 | TotalEnergies SE | 200.31 Bn | 75.66 Bn | 31.61 Bn | - |
| 5 | Eni Spa | 181.16 Bn | 124.34 Bn | - | - |
| 6 | Conocophillips | 168.32 Bn | 137.35 Bn | 12.63 Bn | 1.18 Bn |
| 7 | Equinor Asa | 107.41 Bn | 20.34 Bn | 4.49 Bn | - |
| 8 | Canadian Natural Resources | 103.54 Bn | 97.44 Bn | 9.35 Bn | - |
| 9 | Phillips 66 | 103.32 Bn | 88.28 Bn | 10.69 Bn | 390.07 Mn |
| 10 | Dorchester Minerals | 1.45 Bn | 1.25 Bn | 46.44 Mn | 50.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 50.34 Mn |
| Jun 30, 2026 | 49.09 Mn |
| Mar 31, 2026 | 48.26 Mn |
| Dec 31, 2025 | 48.26 Mn |
| Sep 30, 2025 | 48.26 Mn |
| Jun 30, 2025 | 47.34 Mn |
| Mar 31, 2025 | 47.34 Mn |
| Dec 31, 2024 | 47.34 Mn |
| Sep 30, 2024 | 47.34 Mn |
| Jun 30, 2024 | 40.09 Mn |
| Mar 31, 2024 | 40.09 Mn |
| Dec 31, 2023 | 39.58 Mn |
| Sep 30, 2023 | 39.58 Mn |
| Jun 30, 2023 | 38.72 Mn |
| Mar 31, 2023 | 38.37 Mn |
| Dec 31, 2022 | 38.37 Mn |
| Sep 30, 2022 | 38.37 Mn |
| Jun 30, 2022 | 37.55 Mn |
| Mar 31, 2022 | 37.55 Mn |
| Dec 31, 2021 | 36.98 Mn |
Dorchester Minerals Shares Outstanding (Entity) 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-entity&ticker=DMLP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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-entity&ticker=DMLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();