SM Energy (SM) Accumulated Expenses (2017 - 2025)
SM Energy (SM) reported Accumulated Expenses of $167 million for Q4 2025, down 16.5% from $200 million a year earlier.
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Analysis
SM Energy (SM) Accumulated Expenses (2017 - 2025) Analysis & Trends
Dating back to Q4 2017, SM Energy's Accumulated Expenses record includes 9 quarters.
- Accumulated Expenses has a five-year compound annual growth rate of 20.6% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $200 million in FY2024 (+36.6%), $146.38 million in FY2023 (+16.6%), $125.57 million in FY2022 (+76.8%) and $71.01 million in FY2021 (+8.6%).
- The Q4 2025 figure ranks as the lowest quarterly Accumulated Expenses since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 696.20 Bn | 661.07 Bn | 47.44 Bn |
| 2 | Shell | 563.81 Bn | 425.16 Bn | - |
| 3 | Chevron | 432.14 Bn | 404.83 Bn | 31.26 Bn |
| 4 | TotalEnergies SE | 200.31 Bn | 75.66 Bn | 31.61 Bn |
| 5 | Eni Spa | 181.16 Bn | 124.34 Bn | - |
| 6 | Conocophillips | 168.32 Bn | 137.35 Bn | 12.63 Bn |
| 7 | Equinor Asa | 107.41 Bn | 20.34 Bn | 4.49 Bn |
| 8 | Canadian Natural Resources | 103.54 Bn | 97.44 Bn | 9.35 Bn |
| 9 | Phillips 66 | 103.32 Bn | 88.28 Bn | 10.69 Bn |
| 10 | SM Energy | 7.71 Bn | 5.83 Bn | 1.60 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 167.00 Mn |
| Dec 31, 2024 | 200.00 Mn |
| Dec 31, 2023 | 146.38 Mn |
| Dec 31, 2022 | 125.57 Mn |
| Dec 31, 2021 | 71.01 Mn |
| Dec 31, 2020 | 65.37 Mn |
| Dec 31, 2019 | 96.93 Mn |
| Dec 31, 2018 | 139.71 Mn |
| Dec 31, 2017 | 126.50 Mn |
API Access
SM Energy 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=SM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "SM", "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=SM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();