Lcnb (LCNB) Professional Fees (2016 - 2026)
Lcnb (LCNB) recorded Professional Fees of $1.06 million in Q3 2026, up 20.2% from $880,000 a year earlier and unchanged from the prior quarter.
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Analysis
Lcnb (LCNB) Professional Fees (2016 - 2026) Analysis & Trends
On a TTM basis, Lcnb's Professional Fees came in at $4.01 million as of Sep 30, 2026, up 18.3% year-over-year; for FY2025, it was $3.52 million, up 9.6% from FY2024.
- Annual Professional Fees has increased for five straight years, with a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- Across earlier years, Professional Fees came in at $3.21 million in FY2024 (+15.7%), $2.78 million in FY2023 (+10.9%), $2.5 million in FY2022 (+3.0%) and $2.43 million in FY2021 (+33.4%).
- On a year-over-year basis, Professional Fees has increased for seven consecutive quarters, with growth averaging 11.5% over the last eight quarters.
- Peak year-over-year performance for Professional Fees in the last five years was growth of 32.8% in Q4 2023, against a decline of 6.4% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.06 million (Q2 2026), $979,000 (Q1 2026) and $911,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 3.90 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 606.00 Mn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 700.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 411.67 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 424.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.17 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Lcnb | 280.39 Mn | 134.49 Mn | - | 1.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.06 Mn |
| Jun 30, 2026 | 1.06 Mn |
| Mar 31, 2026 | 979,000.00 |
| Dec 31, 2025 | 911,000.00 |
| Sep 30, 2025 | 880,000.00 |
| Jun 30, 2025 | 859,000.00 |
| Mar 31, 2025 | 870,000.00 |
| Dec 31, 2024 | 777,000.00 |
| Sep 30, 2024 | 807,000.00 |
| Jun 30, 2024 | 844,000.00 |
| Mar 31, 2024 | 784,000.00 |
| Dec 31, 2023 | 798,000.00 |
| Sep 30, 2023 | 671,000.00 |
| Jun 30, 2023 | 666,000.00 |
| Mar 31, 2023 | 641,000.00 |
| Dec 31, 2022 | 601,000.00 |
| Sep 30, 2022 | 613,000.00 |
| Jun 30, 2022 | 679,000.00 |
| Mar 31, 2022 | 610,000.00 |
| Dec 31, 2021 | 612,000.00 |
API Access
Lcnb Professional Fees 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=professional-fees&ticker=LCNB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "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=professional-fees&ticker=LCNB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();