Lcnb (LCNB) Operating Expenses (2011 - 2026)
Lcnb (LCNB) recorded Operating Expenses of $15.68 million in Q2 2026, up 0.7% from $15.57 million a year earlier but down 1.3% from the prior quarter.
Powered by 
Analysis
Lcnb (LCNB) Operating Expenses (2011 - 2026) Analysis & Trends
On a TTM basis, Lcnb's Operating Expenses came in at $62.09 million as of Jun 30, 2026, up 1.2% year-over-year; for FY2025, it came in at $61.91 million, down 2.2% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $63.28 million in FY2024 (+16.3%), $54.42 million in FY2023 (+13.1%), $48.13 million in FY2022 (+0.2%) and $48.04 million in FY2021 (+4.9%).
- Quarterly Operating Expenses has ranged from $11.47 million in Q2 2022 to $17.83 million in Q2 2024 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for three consecutive quarters, with growth averaging 0.4% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 47.6% in Q2 2024, against a decline of 17.0% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $15.88 million (Q1 2026), $15.39 million (Q4 2025) and $15.15 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 13.66 Bn |
| 10 | Lcnb | 265.41 Mn | 153.90 Mn | - | 15.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.68 Mn |
| Mar 31, 2026 | 15.88 Mn |
| Dec 31, 2025 | 15.39 Mn |
| Sep 30, 2025 | 15.15 Mn |
| Jun 30, 2025 | 15.57 Mn |
| Mar 31, 2025 | 15.81 Mn |
| Dec 31, 2024 | 14.59 Mn |
| Sep 30, 2024 | 15.39 Mn |
| Jun 30, 2024 | 17.83 Mn |
| Mar 31, 2024 | 15.47 Mn |
| Dec 31, 2023 | 17.58 Mn |
| Sep 30, 2023 | 12.24 Mn |
| Jun 30, 2023 | 12.08 Mn |
| Mar 31, 2023 | 12.53 Mn |
| Dec 31, 2022 | 12.07 Mn |
| Sep 30, 2022 | 12.35 Mn |
| Jun 30, 2022 | 11.47 Mn |
| Mar 31, 2022 | 12.25 Mn |
| Dec 31, 2021 | 12.31 Mn |
| Sep 30, 2021 | 12.03 Mn |
API Access
Lcnb 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=LCNB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LCNB", "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=LCNB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();