DT Midstream (DTM) Shares Outstanding (Diluted) (2020 - 2026)
DT Midstream (DTM) reported Shares Outstanding (Diluted) of 102.6 million for Q2 2026, up 0.1% from 102.5 million a year earlier but down 0.1% from the prior quarter.
DT Midstream (DTM) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, DT Midstream posted Shares Outstanding (Diluted) of 102.5 million, up 4.2% from FY2024.
- Shares Outstanding (Diluted) has increased for five consecutive years, with a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 98.4 million in FY2024 (+0.9%), 97.5 million in FY2023 (+0.3%), 97.2 million in FY2022 (+0.3%) and 96.9 million in FY2021 (+0.2%).
- Five-year quarterly Shares Outstanding (Diluted) spans a low of 96.9 million in Q3 2021 and a high of 102.7 million in Q1 2026.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last 20 quarters, with growth averaging 2.5% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Diluted) ran from 0.1% in Q2 2026 to 4.9% in Q1 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at 102.7 million (Q1 2026), 102.5 million (Q4 2025) and 102.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Enbridge | 101.53 Bn | 99.08 Bn | 4.84 Bn | 2.19 Bn |
| 2 | Enterprise Products Partners | 76.92 Bn | 75.35 Bn | - | 2.19 Bn |
| 3 | Energy Transfer | 67.97 Bn | 61.41 Bn | 7.40 Bn | 3.46 Bn |
| 4 | Kinder Morgan | 67.10 Bn | 68.05 Bn | 3.07 Bn | 2.23 Bn |
| 5 | Tc Energy | 60.19 Bn | 63.26 Bn | 2.81 Bn | 1.04 Bn |
| 6 | Targa Resources | 57.97 Bn | 57.59 Bn | 2.14 Bn | 215.20 Mn |
| 7 | Mplx | 57.16 Bn | 50.72 Bn | 2.91 Bn | 1.02 Bn |
| 8 | Cheniere Energy | 55.61 Bn | 55.74 Bn | 5.29 Bn | 209.50 Mn |
| 9 | Oneok | 53.75 Bn | 52.24 Bn | 2.81 Bn | 632.00 Mn |
| 10 | DT Midstream | 12.19 Bn | 11.86 Bn | - | 102.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 102.60 Mn |
| Mar 31, 2026 | 102.70 Mn |
| Dec 31, 2025 | 102.50 Mn |
| Sep 30, 2025 | 102.50 Mn |
| Jun 30, 2025 | 102.50 Mn |
| Mar 31, 2025 | 102.50 Mn |
| Dec 31, 2024 | 98.40 Mn |
| Sep 30, 2024 | 98.00 Mn |
| Jun 30, 2024 | 97.90 Mn |
| Mar 31, 2024 | 97.70 Mn |
| Dec 31, 2023 | 97.50 Mn |
| Sep 30, 2023 | 97.50 Mn |
| Jun 30, 2023 | 97.40 Mn |
| Mar 31, 2023 | 97.40 Mn |
| Dec 31, 2022 | 97.20 Mn |
| Sep 30, 2022 | 97.00 Mn |
| Jun 30, 2022 | 97.10 Mn |
| Mar 31, 2022 | 97.00 Mn |
| Dec 31, 2021 | 96.90 Mn |
| Sep 30, 2021 | 96.90 Mn |
DT Midstream Shares Outstanding (Diluted) 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-diluted&ticker=DTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "DTM", "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-diluted&ticker=DTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();