Dorchester Minerals (DMLP) Income from Continuing Operations (2010 - 2019)
Dorchester Minerals (DMLP) recorded Income from Continuing Operations of $11.49 million in Q3 2019, up 45.7% from $7.88 million a year earlier but down 2.7% from the prior quarter.
Dorchester Minerals (DMLP) Income from Continuing Operations (2010 - 2019) Analysis & Trends
On a TTM basis, Dorchester Minerals' Income from Continuing Operations came in at $43.54 million as of Sep 30, 2019, up 13.0% year-over-year; for FY2016, it was $20.97 million, up 58.3% from FY2015.
- Annual Income from Continuing Operations has a five-year compound annual growth rate of -13.0% (FY2011 to FY2016).
- Across earlier years, Income from Continuing Operations came in at $13.25 million in FY2015 (-70.2%), $44.53 million in FY2014 (+2.6%), $43.4 million in FY2013 (+14.2%) and $38.01 million in FY2012 (-9.9%).
- Quarterly Income from Continuing Operations has ranged from $2.68 million in Q3 2015 to $15.05 million in Q2 2018 over the past five years.
- On a year-over-year basis, Income from Continuing Operations rose in five of the last six quarters, with growth averaging 36.2%.
- Peak year-over-year performance for Income from Continuing Operations in the last five years was growth of 103.4% in Q2 2018, against a decline of 75.5% in Q3 2015 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income (Continuing) (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 743.20 Bn | 699.68 Bn | - | 14.88 Bn |
| 2 | Chevron | 447.03 Bn | 419.15 Bn | 33.45 Bn | 12.20 Bn |
| 3 | Shell | 310.50 Bn | 240.25 Bn | 30.13 Bn | 10.81 Bn |
| 4 | TotalEnergies SE | 198.52 Bn | 79.10 Bn | 61.77 Bn | 12.18 Bn |
| 5 | Conocophillips | 177.09 Bn | 149.80 Bn | 12.81 Bn | 3.93 Bn |
| 6 | Equinor Asa | 119.58 Bn | 34.03 Bn | - | 21.22 Bn |
| 7 | Phillips 66 | 116.56 Bn | 104.35 Bn | 8.38 Bn | 3.88 Bn |
| 8 | Canadian Natural Resources | 113.43 Bn | 110.44 Bn | 8.84 Bn | 3.48 Bn |
| 9 | Suncor Energy | 96.25 Bn | 82.00 Bn | - | 4.98 Bn |
| 10 | Dorchester Minerals | 1.45 Bn | 1.26 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 11.49 Mn |
| Jun 30, 2019 | 11.81 Mn |
| Mar 31, 2019 | 12.37 Mn |
| Sep 30, 2018 | 7.88 Mn |
| Jun 30, 2018 | 15.05 Mn |
| Mar 31, 2018 | 9.71 Mn |
| Sep 30, 2017 | 5.90 Mn |
| Jun 30, 2017 | 7.40 Mn |
| Mar 31, 2017 | 7.54 Mn |
| Dec 31, 2015 | 2.72 Mn |
| Sep 30, 2015 | 2.68 Mn |
| Jun 30, 2015 | 3.81 Mn |
| Mar 31, 2015 | 4.03 Mn |
| Dec 31, 2014 | 8.70 Mn |
| Sep 30, 2014 | 10.97 Mn |
| Jun 30, 2014 | 12.61 Mn |
| Mar 31, 2014 | 12.25 Mn |
| Dec 31, 2013 | 13.15 Mn |
| Sep 30, 2013 | 10.72 Mn |
| Jun 30, 2013 | 11.88 Mn |
Dorchester Minerals Income from Continuing Operations 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=income-from-continuing-operations&ticker=DMLP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-continuing-operations", "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=income-from-continuing-operations&ticker=DMLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();