Enterprise Financial Services (EFSC) Goodwill & Intangibles (2010 - 2026)
Enterprise Financial Services (EFSC) posted Goodwill & Intangibles of $435.2 million for Q2 2026, up 17.0% from $372.04 million a year earlier but down 0.3% from the prior quarter.
Enterprise Financial Services (EFSC) Goodwill & Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2025, Enterprise Financial Services' Goodwill & Intangibles came in at $438.14 million, up 17.3% from FY2024.
- Annual Goodwill & Intangibles shows a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- In prior years, Enterprise Financial Services' Goodwill & Intangibles was $373.65 million in FY2024 (-1.0%), $377.48 million in FY2023 (-1.2%), $382.12 million in FY2022 (-1.4%) and $387.45 million in FY2021 (+36.6%).
- Quarterly Goodwill & Intangibles has run from a low of $371.3 million in Q3 2025 to a high of $438.14 million in Q4 2025 over five years.
- On a year-over-year basis, Goodwill & Intangibles has increased in each of the last three quarters, with growth averaging 5.8% over the last eight quarters.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was Q3 2021, with growth of 67.6%; the weakest was Q3 2022, with a decline of 1.5%.
- According to Business Quant data, Goodwill & Intangibles for the three prior quarters was $436.49 million (Q1 2026), $438.14 million (Q4 2025) and $371.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - |
| 10 | Enterprise Financial Services | 2.16 Bn | 2.16 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 435.20 Mn |
| Mar 31, 2026 | 436.49 Mn |
| Dec 31, 2025 | 438.14 Mn |
| Sep 30, 2025 | 371.30 Mn |
| Jun 30, 2025 | 372.04 Mn |
| Mar 31, 2025 | 372.79 Mn |
| Dec 31, 2024 | 373.65 Mn |
| Sep 30, 2024 | 374.56 Mn |
| Jun 30, 2024 | 375.49 Mn |
| Mar 31, 2024 | 376.44 Mn |
| Dec 31, 2023 | 377.48 Mn |
| Sep 30, 2023 | 378.59 Mn |
| Jun 30, 2023 | 379.71 Mn |
| Mar 31, 2023 | 380.84 Mn |
| Dec 31, 2022 | 382.12 Mn |
| Sep 30, 2022 | 383.38 Mn |
| Jun 30, 2022 | 384.69 Mn |
| Mar 31, 2022 | 386.02 Mn |
| Dec 31, 2021 | 387.45 Mn |
| Sep 30, 2021 | 389.19 Mn |
Enterprise Financial Services Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=EFSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=EFSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();