Enterprise Financial Services (EFSC) Property, Plant & Equipment (Net) (2010 - 2026)
Enterprise Financial Services (EFSC) reported Property, Plant & Equipment (Net) of $57.32 million for Q2 2026, up 17.8% from $48.64 million a year earlier but down 1.1% from the prior quarter.
Enterprise Financial Services (EFSC) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Enterprise Financial Services posted Property, Plant & Equipment (Net) of $58.99 million, up 31.1% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 2.1% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $45.01 million in FY2024 (+5.5%), $42.68 million in FY2023 (-0.7%), $42.99 million in FY2022 (-10.3%) and $47.92 million in FY2021 (-9.9%).
- Five-year quarterly Property, Plant & Equipment (Net) spans a low of $41.27 million in Q3 2023 and a high of $58.99 million in Q4 2025.
- Year over year, Property, Plant & Equipment (Net) has now increased in each of the last ten quarters, with growth averaging 13.8% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q4 2025 (growth of 31.1%); the low point was Q3 2021 (a decline of 14.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $57.96 million (Q1 2026), $58.99 million (Q4 2025) and $49.25 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 37.70 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | 29.00 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 12.79 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 4.98 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 8.96 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 11.63 Bn |
| 10 | Enterprise Financial Services | 2.18 Bn | 2.18 Bn | - | 57.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.32 Mn |
| Mar 31, 2026 | 57.96 Mn |
| Dec 31, 2025 | 58.99 Mn |
| Sep 30, 2025 | 49.25 Mn |
| Jun 30, 2025 | 48.64 Mn |
| Mar 31, 2025 | 48.08 Mn |
| Dec 31, 2024 | 45.01 Mn |
| Sep 30, 2024 | 44.37 Mn |
| Jun 30, 2024 | 44.83 Mn |
| Mar 31, 2024 | 44.38 Mn |
| Dec 31, 2023 | 42.68 Mn |
| Sep 30, 2023 | 41.27 Mn |
| Jun 30, 2023 | 41.99 Mn |
| Mar 31, 2023 | 42.34 Mn |
| Dec 31, 2022 | 42.99 Mn |
| Sep 30, 2022 | 43.88 Mn |
| Jun 30, 2022 | 46.03 Mn |
| Mar 31, 2022 | 46.90 Mn |
| Dec 31, 2021 | 47.92 Mn |
| Sep 30, 2021 | 48.70 Mn |
Enterprise Financial Services Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=EFSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=EFSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();