Enterprise Financial Services (EFSC) Depreciation and Depletion (2010 - 2026)
Enterprise Financial Services (EFSC) reported Depreciation and Depletion of $2.04 million for Q2 2026, up 15.9% from $1.76 million a year earlier but down 0.8% from the prior quarter.
Enterprise Financial Services (EFSC) Depreciation and Depletion (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Enterprise Financial Services' Depreciation and Depletion came in at $7.8 million, up 38.0% year-over-year; for FY2025, it was $6.78 million, up 31.7% from FY2024.
- Depreciation and Depletion has a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $5.15 million in FY2024 (+1.2%), $5.09 million in FY2023 (-8.7%), $5.57 million in FY2022 (-9.3%) and $6.15 million in FY2021 (-0.1%).
- Five-year quarterly Depreciation and Depletion spans a low of $1.24 million in Q4 2024 and a high of $2.06 million in Q1 2026.
- Year over year, Depreciation and Depletion has now increased in each of the last six quarters, with growth averaging 25.0% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was Q4 2025 (growth of 65.6%); the low point was Q4 2022 (a decline of 15.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.06 million (Q1 2026), $2.06 million (Q4 2025) and $1.63 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 243.13 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | Enterprise Financial Services | 2.14 Bn | 2.14 Bn | - | 2.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.04 Mn |
| Mar 31, 2026 | 2.06 Mn |
| Dec 31, 2025 | 2.06 Mn |
| Sep 30, 2025 | 1.63 Mn |
| Jun 30, 2025 | 1.76 Mn |
| Mar 31, 2025 | 1.33 Mn |
| Dec 31, 2024 | 1.24 Mn |
| Sep 30, 2024 | 1.32 Mn |
| Jun 30, 2024 | 1.34 Mn |
| Mar 31, 2024 | 1.25 Mn |
| Dec 31, 2023 | 1.27 Mn |
| Sep 30, 2023 | 1.27 Mn |
| Jun 30, 2023 | 1.27 Mn |
| Mar 31, 2023 | 1.27 Mn |
| Dec 31, 2022 | 1.31 Mn |
| Sep 30, 2022 | 1.38 Mn |
| Jun 30, 2022 | 1.42 Mn |
| Mar 31, 2022 | 1.47 Mn |
| Dec 31, 2021 | 1.54 Mn |
| Sep 30, 2021 | 1.57 Mn |
Enterprise Financial Services Depreciation and Depletion 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=depreciation-and-depletion&ticker=EFSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "EFSC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-depletion&ticker=EFSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();