Enterprise Financial Services (EFSC) Net Income (2010 - 2026)
Enterprise Financial Services' Net Income came in at $40.93 million for Q2 2026, down 20.4% from $51.38 million a year earlier and down 17.1% from the prior quarter.
Enterprise Financial Services (EFSC) Net Income (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Enterprise Financial Services reported Net Income of $190.32 million, down 5.2% year-over-year; for FY2025, it came in at $85.31 million, down 14.5% from FY2024.
- Net Income carries a five-year compound annual growth rate of 31.9% (FY2020 to FY2025).
- Going back by year, Net Income was $99.76 million in FY2024 (+162.7%), $37.98 million in FY2023 (-36.0%), $59.38 million in FY2022 (-24.0%) and $78.16 million in FY2021 (+266.1%).
- The Q2 2026 figure represents the lowest quarterly Net Income since Q1 2024.
- Year-over-year, Net Income increased in five of the last eight quarters, with growth averaging 5.0%.
- The fastest year-over-year change in Net Income over five years came in Q3 2022 (growth of 260.8%), and the weakest in Q1 2024 (a decline of 27.5%).
- Business Quant data shows EFSC's Net Income at $49.36 million (Q1 2026), $54.79 million (Q4 2025) and $45.24 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 21.16 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 228.63 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 9.07 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 5.65 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 4.32 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 5.85 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 6.63 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 6.65 Bn |
| 10 | Enterprise Financial Services | 2.14 Bn | 2.14 Bn | - | 40.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.93 Mn |
| Mar 31, 2026 | 49.36 Mn |
| Dec 31, 2025 | 54.79 Mn |
| Sep 30, 2025 | 45.24 Mn |
| Jun 30, 2025 | 51.38 Mn |
| Mar 31, 2025 | 49.96 Mn |
| Dec 31, 2024 | 48.83 Mn |
| Sep 30, 2024 | 50.59 Mn |
| Jun 30, 2024 | 45.45 Mn |
| Mar 31, 2024 | 40.40 Mn |
| Dec 31, 2023 | 44.53 Mn |
| Sep 30, 2023 | 44.67 Mn |
| Jun 30, 2023 | 49.13 Mn |
| Mar 31, 2023 | 55.74 Mn |
| Dec 31, 2022 | 60.00 Mn |
| Sep 30, 2022 | 50.20 Mn |
| Jun 30, 2022 | 45.15 Mn |
| Mar 31, 2022 | 47.69 Mn |
| Dec 31, 2021 | 50.81 Mn |
| Sep 30, 2021 | 13.91 Mn |
Enterprise Financial Services Net Income 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=net-income&ticker=EFSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=EFSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();