Trico Bancshares (TCBK) Operating Expenses (2009 - 2026)
Trico Bancshares (TCBK) posted Operating Expenses of $66.48 million for Q3 2026, up 10.0% from $60.42 million a year earlier and up 5.7% from the prior quarter.
Trico Bancshares (TCBK) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Operating Expenses at Trico Bancshares was $248.28 million, up 3.1% year-over-year; for FY2025, it was $240.96 million, up 2.9% from FY2024.
- Annual Operating Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- In prior years, Trico Bancshares' Operating Expenses was $234.11 million in FY2024 (+0.4%), $233.18 million in FY2023 (+7.6%), $216.65 million in FY2022 (+21.5%) and $178.28 million in FY2021 (-2.5%).
- The Q3 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q2 2010.
- On a year-over-year basis, Operating Expenses increased in six of the last eight quarters, with growth averaging 2.9%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2022, with growth of 27.4%; the weakest was Q2 2024, with a decline of 4.7%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $62.93 million (Q2 2026), $59.05 million (Q1 2026) and $59.82 million (Q4 2025).
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 | Trico Bancshares | 1.67 Bn | 903.31 Mn | - | 66.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 66.48 Mn |
| Jun 30, 2026 | 62.93 Mn |
| Mar 31, 2026 | 59.05 Mn |
| Dec 31, 2025 | 59.82 Mn |
| Sep 30, 2025 | 60.42 Mn |
| Jun 30, 2025 | 61.13 Mn |
| Mar 31, 2025 | 59.59 Mn |
| Dec 31, 2024 | 59.78 Mn |
| Sep 30, 2024 | 59.49 Mn |
| Jun 30, 2024 | 58.34 Mn |
| Mar 31, 2024 | 56.50 Mn |
| Dec 31, 2023 | 60.27 Mn |
| Sep 30, 2023 | 57.88 Mn |
| Jun 30, 2023 | 61.24 Mn |
| Mar 31, 2023 | 53.79 Mn |
| Dec 31, 2022 | 59.47 Mn |
| Sep 30, 2022 | 54.47 Mn |
| Jun 30, 2022 | 56.26 Mn |
| Mar 31, 2022 | 46.45 Mn |
| Dec 31, 2021 | 46.68 Mn |
Trico Bancshares 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=TCBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TCBK", "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=TCBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();