Enterprise Financial Services (EFSC) Interest Expense - Others (2009 - 2026)
Enterprise Financial Services' Interest Expense - Others came in at $1.22 million for Q4 2018, up 157.6% from $474,000 a year earlier and up 52.8% from the prior quarter.
Enterprise Financial Services (EFSC) Interest Expense - Others (2009 - 2026) Analysis & Trends
For FY2017, Enterprise Financial Services' Interest Expense - Others was $2.2 million, up 60.2% from FY2016.
- Interest Expense - Others has increased in each of the last four years, with a five-year compound annual growth rate of 24.9% (FY2012 to FY2017).
- Going back by year, Interest Expense - Others was $1.37 million in FY2016 (+19.2%), $1.15 million in FY2015 (+76.0%), $653,000 in FY2014 (+41.6%) and $461,000 in FY2013 (-36.1%).
- The Q4 2018 figure represents the highest quarterly Interest Expense - Others in data going back to Q2 2010.
- Year-over-year, Interest Expense - Others has increased for 18 consecutive quarters, with growth averaging 67.6% over the last eight quarters.
- The fastest year-over-year change in Interest Expense - Others over five years came in Q4 2014 (growth of 165.3%), and the weakest in Q1 2014 (a decline of 18.8%).
- Business Quant data shows EFSC's Interest Expense - Others at $799,000 (Q3 2018), $817,000 (Q2 2018) and $806,000 (Q1 2018) in the three quarters before Q4 2018.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 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 | - |
| 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 | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -1.01 Mn |
| Jun 30, 2026 | -2.01 Mn |
| Mar 31, 2026 | -2.62 Mn |
| Dec 31, 2025 | -2.17 Mn |
| Sep 30, 2025 | -1.60 Mn |
| Jun 30, 2025 | -1.69 Mn |
| Mar 31, 2025 | -2.15 Mn |
| Dec 31, 2024 | -1.34 Mn |
| Sep 30, 2024 | -1.31 Mn |
| Jun 30, 2024 | -1.50 Mn |
| Mar 31, 2024 | -2.01 Mn |
| Dec 31, 2023 | -1.54 Mn |
| Sep 30, 2023 | -1.31 Mn |
| Jun 30, 2023 | -2.12 Mn |
| Mar 31, 2023 | -1.10 Mn |
| Dec 31, 2022 | -660,000.00 |
| Sep 30, 2022 | -302,000.00 |
| Jun 30, 2022 | -152,000.00 |
| Mar 31, 2022 | -142,000.00 |
| Dec 31, 2021 | -145,000.00 |
Enterprise Financial Services Interest Expense - Others 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=interest-expense-others&ticker=EFSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense-others", "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=interest-expense-others&ticker=EFSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();