Dorchester Minerals (DMLP) Gross Margin (2017 - 2019)
Dorchester Minerals (DMLP) posted Gross Margin of 92.95% for Q3 2019, up 2.96 percentage points from 89.98% a year earlier and up 1.63 percentage points from the prior quarter.
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Analysis
Dorchester Minerals (DMLP) Gross Margin (2017 - 2019) Analysis & Trends
For the trailing twelve months through Sep 30, 2019, Gross Margin at Dorchester Minerals was 82.13%, down 0.37 percentage points year-over-year.
- The Q3 2019 figure stands as the highest quarterly Gross Margin since Q2 2018.
- On a year-over-year basis, Gross Margin increased in three of the last six quarters, with an average year-over-year change of +0.42 percentage points.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 742.51 Bn | 698.99 Bn | - | - |
| 2 | Chevron | 445.06 Bn | 417.18 Bn | 33.45 Bn | 47.75% |
| 3 | Shell | 310.78 Bn | 240.53 Bn | 30.13 Bn | 31.83% |
| 4 | TotalEnergies SE | 197.34 Bn | 77.92 Bn | 61.77 Bn | 100.00% |
| 5 | Conocophillips | 177.35 Bn | 150.05 Bn | 12.81 Bn | 65.62% |
| 6 | Equinor Asa | 118.67 Bn | 33.12 Bn | - | - |
| 7 | Phillips 66 | 116.93 Bn | 104.72 Bn | 8.38 Bn | 16.10% |
| 8 | Canadian Natural Resources | 113.22 Bn | 110.23 Bn | 8.84 Bn | 82.99% |
| 9 | Suncor Energy | 95.47 Bn | 81.22 Bn | - | - |
| 10 | Dorchester Minerals | 1.46 Bn | 1.27 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 92.95% |
| Jun 30, 2019 | 91.32% |
| Mar 31, 2019 | 91.53% |
| Sep 30, 2018 | 89.98% |
| Jun 30, 2018 | 93.77% |
| Mar 31, 2018 | 92.09% |
| Sep 30, 2017 | 89.42% |
| Jun 30, 2017 | 91.63% |
| Mar 31, 2017 | 92.24% |
API Access
Dorchester Minerals Gross Margin 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=gross-margin&ticker=DMLP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=DMLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();