ENB Financial (ENBP) Operating Expenses (2009 - 2026)
ENB Financial (ENBP) reported Operating Expenses of $18.44 million for Q3 2026, up 21.5% from $15.18 million a year earlier and up 1.0% from the prior quarter.
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Analysis
ENB Financial (ENBP) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, ENB Financial's Operating Expenses came in at $70.55 million, up 22.6% year-over-year; for FY2025, it came in at $59.12 million, up 7.0% from FY2024.
- Operating Expenses has increased for 15 consecutive years, with a five-year compound annual growth rate of 10.4% (FY2020 to FY2025).
- By year, Operating Expenses came in at $55.23 million in FY2024 (+7.4%), $51.41 million in FY2023 (+11.9%), $45.93 million in FY2022 (+13.6%) and $40.44 million in FY2021 (+12.1%).
- The Q3 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q2 2010.
- Year over year, Operating Expenses has now increased in each of the last 54 quarters, with growth averaging 14.7% over the last eight quarters.
- The year-over-year growth in Operating Expenses has ranged between 1.3% (Q2 2024) and 31.2% (Q2 2026) over the last five years.
- Per Business Quant data, the three quarters before Q3 2026 came in at $18.27 million (Q2 2026), $18.28 million (Q1 2026) and $15.56 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 27.30 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 19.72 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 8.82 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 13.71 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 7.02 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 11.31 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 13.74 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 17.50 Bn |
| 10 | ENB Financial | 181.39 Mn | 181.39 Mn | - | 18.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 18.44 Mn |
| Jun 30, 2026 | 18.27 Mn |
| Mar 31, 2026 | 18.28 Mn |
| Dec 31, 2025 | 15.56 Mn |
| Sep 30, 2025 | 15.18 Mn |
| Jun 30, 2025 | 13.92 Mn |
| Mar 31, 2025 | 14.32 Mn |
| Dec 31, 2024 | 14.15 Mn |
| Sep 30, 2024 | 14.12 Mn |
| Jun 30, 2024 | 13.37 Mn |
| Mar 31, 2024 | 13.59 Mn |
| Dec 31, 2023 | 12.81 Mn |
| Sep 30, 2023 | 13.03 Mn |
| Jun 30, 2023 | 13.20 Mn |
| Mar 31, 2023 | 12.36 Mn |
| Dec 31, 2022 | 12.33 Mn |
| Sep 30, 2022 | 11.51 Mn |
| Jun 30, 2022 | 11.48 Mn |
| Mar 31, 2022 | 10.61 Mn |
| Dec 31, 2021 | 11.44 Mn |
API Access
ENB Financial Operating Expenses 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=operating-expenses&ticker=ENBP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ENBP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=ENBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();