Citizens Financial Services (CZFS) Operating Expenses (2009 - 2026)
Citizens Financial Services (CZFS) posted Operating Expenses of $16.87 million for Q2 2026, up 4.5% from $16.15 million a year earlier and up 1.6% from the prior quarter.
Citizens Financial Services (CZFS) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Citizens Financial Services was $65.63 million, up 0.9% year-over-year; for FY2025, it came in at $64.73 million, down 1.0% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 9.6% (FY2020 to FY2025).
- In prior years, Citizens Financial Services' Operating Expenses was $65.39 million in FY2024 (+1.0%), $64.76 million in FY2023 (+44.9%), $44.69 million in FY2022 (+7.6%) and $41.55 million in FY2021 (+1.7%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q2 2023.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with growth averaging 0.4%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2023, with growth of 84.6%; the weakest was Q2 2024, with a decline of 21.4%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $16.6 million (Q1 2026), $16.02 million (Q4 2025) and $16.13 million (Q3 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 | Citizens Financial Services | 415.35 Mn | 272.64 Mn | - | 17.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 17.02 Mn |
| Jun 30, 2026 | 16.87 Mn |
| Mar 31, 2026 | 16.60 Mn |
| Dec 31, 2025 | 16.17 Mn |
| Sep 30, 2025 | 16.08 Mn |
| Jun 30, 2025 | 16.15 Mn |
| Mar 31, 2025 | 16.38 Mn |
| Dec 31, 2024 | 16.47 Mn |
| Sep 30, 2024 | 16.03 Mn |
| Jun 30, 2024 | 16.25 Mn |
| Mar 31, 2024 | 16.64 Mn |
| Dec 31, 2023 | 15.86 Mn |
| Sep 30, 2023 | 16.44 Mn |
| Jun 30, 2023 | 20.68 Mn |
| Mar 31, 2023 | 11.78 Mn |
| Dec 31, 2022 | 11.65 Mn |
| Sep 30, 2022 | 11.61 Mn |
| Jun 30, 2022 | 11.20 Mn |
| Mar 31, 2022 | 10.23 Mn |
| Dec 31, 2021 | 10.88 Mn |
Citizens Financial Services 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=CZFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CZFS", "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=CZFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();