Enterprise Financial Services (EFSC) Income After Tax (2009 - 2026)
Enterprise Financial Services' Income After Tax 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) Income After Tax (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Enterprise Financial Services reported Income After Tax of $190.32 million, down 5.2% year-over-year; for FY2025, it was $201.37 million, up 8.7% from FY2024.
- Income After Tax carries a five-year compound annual growth rate of 22.0% (FY2020 to FY2025).
- Going back by year, Income After Tax was $185.27 million in FY2024 (-4.5%), $194.06 million in FY2023 (-4.4%), $203.04 million in FY2022 (+52.6%) and $133.06 million in FY2021 (+78.9%).
- The Q2 2026 figure represents the lowest quarterly Income After Tax since Q1 2024.
- Year-over-year, Income After Tax increased in five of the last eight quarters, with growth averaging 5.0%.
- The fastest year-over-year change in Income After Tax 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 Income After Tax 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) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 15.31 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 40.42 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 6.93 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 11.69 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 4.97 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 4.32 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 5.29 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 5.94 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 5.31 Bn |
| 10 | Enterprise Financial Services | 2.23 Bn | -4.32 Bn | - | 42.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 42.44 Mn |
| 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 |
Enterprise Financial Services Income After Tax 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=profit-after-tax&ticker=EFSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=EFSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();