Enterprise Financial Services (EFSC) Tax Provisions (2010 - 2026)
Enterprise Financial Services (EFSC) reported Tax Provisions of $11.32 million for Q2 2026, down 11.6% from $12.81 million a year earlier and down 16.1% from the prior quarter.
Enterprise Financial Services (EFSC) Tax Provisions (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Enterprise Financial Services' Tax Provisions came in at $83.27 million, up 73.9% year-over-year; for FY2025, it came in at $82.34 million, up 79.1% from FY2024.
- Tax Provisions has a five-year compound annual growth rate of 36.2% (FY2020 to FY2025).
- By year, Tax Provisions came in at $45.98 million in FY2024 (-12.4%), $52.47 million in FY2023 (-7.0%), $56.42 million in FY2022 (+58.6%) and $35.58 million in FY2021 (+102.6%).
- The Q2 2026 figure ranks as the lowest quarterly Tax Provisions since Q1 2025.
- Year over year, Tax Provisions gained in six of the last eight quarters, with growth averaging 39.6%.
- The high point for year-over-year Tax Provisions in five years was Q3 2025 (growth of 256.1%); the low point was Q1 2024 (a decline of 34.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $13.49 million (Q1 2026), $15.02 million (Q4 2025) and $43.44 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 1.40 Bn |
| 10 | Enterprise Financial Services | 2.14 Bn | 2.14 Bn | - | 11.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.32 Mn |
| Mar 31, 2026 | 13.49 Mn |
| Dec 31, 2025 | 15.02 Mn |
| Sep 30, 2025 | 43.44 Mn |
| Jun 30, 2025 | 12.81 Mn |
| Mar 31, 2025 | 11.07 Mn |
| Dec 31, 2024 | 11.81 Mn |
| Sep 30, 2024 | 12.20 Mn |
| Jun 30, 2024 | 11.74 Mn |
| Mar 31, 2024 | 10.23 Mn |
| Dec 31, 2023 | 11.00 Mn |
| Sep 30, 2023 | 12.39 Mn |
| Jun 30, 2023 | 13.56 Mn |
| Mar 31, 2023 | 15.52 Mn |
| Dec 31, 2022 | 16.44 Mn |
| Sep 30, 2022 | 14.03 Mn |
| Jun 30, 2022 | 12.58 Mn |
| Mar 31, 2022 | 13.38 Mn |
| Dec 31, 2021 | 13.85 Mn |
| Sep 30, 2021 | 4.43 Mn |
Enterprise Financial Services Tax Provisions 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=tax-provisions&ticker=EFSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=EFSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();