Summit Midstream (SMC) Accumulated Expenses (2023 - 2026)
Summit Midstream (SMC) posted Accumulated Expenses of $50.52 million for Q3 2026, up 42.9% from $35.35 million a year earlier but down 28.6% from the prior quarter.
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Analysis
Summit Midstream (SMC) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Summit Midstream's Accumulated Expenses came in at $54.32 million, down 9.3% from FY2024.
- In prior years, Summit Midstream's Accumulated Expenses was $59.89 million in FY2024 (+15.9%) and $51.68 million in FY2023.
- Quarterly Accumulated Expenses has run from a low of $35.35 million in Q3 2025 to a high of $70.76 million in Q2 2026 over five years.
- On a year-over-year basis, Accumulated Expenses increased in three of the last six quarters, with growth averaging 6.2%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $70.76 million (Q2 2026), $46.01 million (Q1 2026) and $54.32 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Enbridge | 106.26 Bn | 104.14 Bn | 4.35 Bn |
| 2 | Williams Companies | 86.41 Bn | 89.20 Bn | 2.59 Bn |
| 3 | Enterprise Products Partners | 82.58 Bn | 80.98 Bn | 14.00 Mn |
| 4 | Kinder Morgan | 71.13 Bn | 71.22 Bn | 2.97 Bn |
| 5 | Tc Energy | 67.40 Bn | 71.05 Bn | - |
| 6 | Energy Transfer | 66.89 Bn | 62.98 Bn | 6.57 Bn |
| 7 | Targa Resources | 63.77 Bn | 62.98 Bn | 2.02 Bn |
| 8 | Cheniere Energy | 63.04 Bn | 62.60 Bn | 2.97 Bn |
| 9 | Mplx | 58.00 Bn | 52.25 Bn | 3.19 Bn |
| 10 | Summit Midstream | 622.23 Mn | 862.39 Mn | 123.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 50.52 Mn |
| Jun 30, 2026 | 70.76 Mn |
| Mar 31, 2026 | 46.01 Mn |
| Dec 31, 2025 | 54.32 Mn |
| Sep 30, 2025 | 35.35 Mn |
| Jun 30, 2025 | 56.86 Mn |
| Mar 31, 2025 | 55.38 Mn |
| Dec 31, 2024 | 59.89 Mn |
| Sep 30, 2024 | 44.25 Mn |
| Dec 31, 2023 | 51.68 Mn |
API Access
Summit Midstream Accumulated Expenses 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=accumulated-expenses&ticker=SMC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "SMC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=SMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();