Enterprise Financial Services (EFSC) Provisions (2010 - 2026)
Enterprise Financial Services' Provisions came in at $16.55 million for Q2 2026, up 376.9% from $3.47 million a year earlier and up 100.0% from the prior quarter.
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Analysis
Enterprise Financial Services (EFSC) Provisions (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Enterprise Financial Services reported Provisions of $64.91 million, up 65.2% year-over-year; for FY2025, it was $46.18 million, up 12.0% from FY2024.
- Provisions carries a five-year compound annual growth rate of -6.7% (FY2020 to FY2025).
- Going back by year, Provisions was $41.23 million in FY2024 (+7.6%), $38.31 million in FY2023, -$6.12 million in FY2022 and $14.36 million in FY2021 (-78.0%).
- The five-year range for quarterly Provisions is -$23.9 million (Q3 2021) to $31.64 million (Q4 2025).
- Year-over-year, Provisions has increased for four consecutive quarters, with growth averaging 58.4% over the last eight quarters.
- The fastest year-over-year change in Provisions over five years came in Q2 2026 (growth of 376.9%), and the weakest in Q3 2024 (a decline of 48.1%).
- Business Quant data shows EFSC's Provisions at $8.27 million (Q1 2026), $31.64 million (Q4 2025) and $8.45 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.52 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 1.38 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 110.00 Mn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 717.20 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | -647.66 Mn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 124.00 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 914.00 Mn |
| 10 | Enterprise Financial Services | 2.14 Bn | 2.14 Bn | - | 16.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.55 Mn |
| Mar 31, 2026 | 8.27 Mn |
| Dec 31, 2025 | 31.64 Mn |
| Sep 30, 2025 | 8.45 Mn |
| Jun 30, 2025 | 3.47 Mn |
| Mar 31, 2025 | 5.75 Mn |
| Dec 31, 2024 | 25.90 Mn |
| Sep 30, 2024 | 4.16 Mn |
| Jun 30, 2024 | 4.82 Mn |
| Mar 31, 2024 | 6.59 Mn |
| Dec 31, 2023 | 23.54 Mn |
| Sep 30, 2023 | 8.03 Mn |
| Jun 30, 2023 | 6.34 Mn |
| Mar 31, 2023 | 5.08 Mn |
| Dec 31, 2022 | -3.39 Mn |
| Sep 30, 2022 | 4.20 Mn |
| Jun 30, 2022 | 4.56 Mn |
| Mar 31, 2022 | -4.31 Mn |
| Dec 31, 2021 | -3.66 Mn |
| Sep 30, 2021 | -23.90 Mn |
API Access
Enterprise Financial Services 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=provisions&ticker=EFSC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=provisions&ticker=EFSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();