Community Trust Bancorp (CTBI) Operating Expenses (2010 - 2026)
Community Trust Bancorp's Operating Expenses was $37.37 million in Q2 2026, up 4.8% from $35.66 million a year earlier and up 2.3% from the prior quarter.
Community Trust Bancorp (CTBI) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Community Trust Bancorp's Operating Expenses was $147.1 million through Jun 30, 2026, up 8.0% year-over-year; for FY2025, it came in at $143.07 million, up 9.3% from FY2024.
- Operating Expenses has now increased for four consecutive years, with a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $130.92 million in FY2024 (+4.4%), $125.39 million in FY2023 (+3.6%), $121.07 million in FY2022 (+1.5%) and $119.29 million in FY2021 (unchanged).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q2 2010.
- Compared with a year earlier, Operating Expenses has increased for 11 straight quarters, with growth averaging 7.6% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2025 (growth of 13.0%); the worst was Q4 2021 (a decline of 7.4%).
- Per Business Quant data, CTBI's Operating Expenses in the three quarters before Q2 2026 was $36.54 million (Q1 2026), $36.45 million (Q4 2025) and $36.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.66 Bn |
| 10 | Community Trust Bancorp | 1.35 Bn | -397.18 Mn | - | 37.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.37 Mn |
| Mar 31, 2026 | 36.54 Mn |
| Dec 31, 2025 | 36.45 Mn |
| Sep 30, 2025 | 36.74 Mn |
| Jun 30, 2025 | 35.66 Mn |
| Mar 31, 2025 | 34.21 Mn |
| Dec 31, 2024 | 33.77 Mn |
| Sep 30, 2024 | 32.51 Mn |
| Jun 30, 2024 | 32.42 Mn |
| Mar 31, 2024 | 32.22 Mn |
| Dec 31, 2023 | 31.63 Mn |
| Sep 30, 2023 | 30.85 Mn |
| Jun 30, 2023 | 31.03 Mn |
| Mar 31, 2023 | 31.89 Mn |
| Dec 31, 2022 | 30.26 Mn |
| Sep 30, 2022 | 31.48 Mn |
| Jun 30, 2022 | 29.98 Mn |
| Mar 31, 2022 | 29.36 Mn |
| Dec 31, 2021 | 31.15 Mn |
| Sep 30, 2021 | 30.33 Mn |
Community Trust Bancorp 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=CTBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CTBI", "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=CTBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();