Enterprise Financial Services (EFSC) Long-Term Investments (2009 - 2026)
Enterprise Financial Services' Long-Term Investments came in at $128.63 million for Q2 2026, up 45.2% from $88.6 million a year earlier and up 57.0% from the prior quarter.
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Analysis
Enterprise Financial Services (EFSC) Long-Term Investments (2009 - 2026) Analysis & Trends
At the end of FY2025, Enterprise Financial Services' Long-Term Investments was $80.9 million, up 11.1% from FY2024.
- Long-Term Investments has increased in each of the last seven years, with a five-year compound annual growth rate of 10.6% (FY2020 to FY2025).
- Going back by year, Long-Term Investments was $72.8 million in FY2024 (+10.0%), $66.2 million in FY2023 (+3.8%), $63.8 million in FY2022 (+6.5%) and $59.9 million in FY2021 (+22.7%).
- The Q2 2026 figure represents the highest quarterly Long-Term Investments in data going back to Q4 2010.
- Year-over-year, Long-Term Investments increased in seven of the last eight quarters, with growth averaging 18.4%.
- The fastest year-over-year change in Long-Term Investments over five years came in Q2 2026 (growth of 45.2%), and the weakest in Q1 2026 (a decline of 2.9%).
- Business Quant data shows EFSC's Long-Term Investments at $81.94 million (Q1 2026), $80.9 million (Q4 2025) and $94.13 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 4.32 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 24.50 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 273.05 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Enterprise Financial Services | 2.23 Bn | -4.32 Bn | - | 120.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 120.70 Mn |
| Jun 30, 2026 | 128.63 Mn |
| Mar 31, 2026 | 81.94 Mn |
| Dec 31, 2025 | 80.90 Mn |
| Sep 30, 2025 | 94.13 Mn |
| Jun 30, 2025 | 88.60 Mn |
| Mar 31, 2025 | 84.41 Mn |
| Dec 31, 2024 | 72.80 Mn |
| Sep 30, 2024 | 75.80 Mn |
| Jun 30, 2024 | 72.00 Mn |
| Mar 31, 2024 | 74.10 Mn |
| Dec 31, 2023 | 66.20 Mn |
| Sep 30, 2023 | 61.82 Mn |
| Jun 30, 2023 | 66.50 Mn |
| Mar 31, 2023 | 62.94 Mn |
| Dec 31, 2022 | 63.80 Mn |
| Sep 30, 2022 | 58.64 Mn |
| Jun 30, 2022 | 61.30 Mn |
| Mar 31, 2022 | 60.44 Mn |
| Dec 31, 2021 | 59.90 Mn |
API Access
Enterprise Financial Services Long-Term Investments 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=long-term-investments&ticker=EFSC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=EFSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();