Dorchester Minerals (DMLP) Cash & Equivalents (2009 - 2026)
Dorchester Minerals (DMLP) recorded Cash & Equivalents of $55.7 million in Q3 2026, up 33.9% from $41.61 million a year earlier but down 23.2% from the prior quarter.
Dorchester Minerals (DMLP) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Dorchester Minerals reported Cash & Equivalents of $41.94 million, down 1.3% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 30.1% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $42.51 million in FY2024 (-9.6%), $47.03 million in FY2023 (+15.4%), $40.75 million in FY2022 (+44.0%) and $28.31 million in FY2021 (+152.0%).
- Quarterly Cash & Equivalents has ranged from $28.16 million in Q1 2026 to $72.5 million in Q2 2026 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in four of the last eight quarters, with growth averaging 9.6%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 152.0% in Q4 2021, against a decline of 32.2% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $72.5 million (Q2 2026), $28.16 million (Q1 2026) and $41.94 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 696.20 Bn | 661.07 Bn | 47.44 Bn | 12.15 Bn |
| 2 | Shell | 563.81 Bn | 425.16 Bn | - | 36.43 Bn |
| 3 | Chevron | 432.14 Bn | 404.83 Bn | 31.26 Bn | 12.80 Bn |
| 4 | TotalEnergies SE | 200.31 Bn | 75.66 Bn | 31.61 Bn | 34.21 Bn |
| 5 | Eni Spa | 181.16 Bn | 124.34 Bn | - | 13.34 Bn |
| 6 | Conocophillips | 168.32 Bn | 137.35 Bn | 12.63 Bn | 7.77 Bn |
| 7 | Equinor Asa | 107.41 Bn | 20.34 Bn | 4.49 Bn | 6.30 Bn |
| 8 | Canadian Natural Resources | 103.54 Bn | 97.44 Bn | 9.35 Bn | 3.18 Bn |
| 9 | Phillips 66 | 103.32 Bn | 88.28 Bn | 10.69 Bn | 5.85 Bn |
| 10 | Dorchester Minerals | 1.45 Bn | 1.25 Bn | 46.44 Mn | 55.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 55.70 Mn |
| Jun 30, 2026 | 72.50 Mn |
| Mar 31, 2026 | 28.16 Mn |
| Dec 31, 2025 | 41.94 Mn |
| Sep 30, 2025 | 41.61 Mn |
| Jun 30, 2025 | 36.51 Mn |
| Mar 31, 2025 | 41.55 Mn |
| Dec 31, 2024 | 42.51 Mn |
| Sep 30, 2024 | 56.47 Mn |
| Jun 30, 2024 | 35.16 Mn |
| Mar 31, 2024 | 37.74 Mn |
| Dec 31, 2023 | 47.03 Mn |
| Sep 30, 2023 | 43.49 Mn |
| Jun 30, 2023 | 35.32 Mn |
| Mar 31, 2023 | 45.00 Mn |
| Dec 31, 2022 | 40.75 Mn |
| Sep 30, 2022 | 51.99 Mn |
| Jun 30, 2022 | 42.98 Mn |
| Mar 31, 2022 | 32.97 Mn |
| Dec 31, 2021 | 28.31 Mn |
Dorchester Minerals Cash & Equivalents 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=cash-and-equivalents&ticker=DMLP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DMLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();