Acnb (ACNB) Operating Expenses (2010 - 2026)
Acnb (ACNB) recorded Operating Expenses of $23.13 million in Q2 2026, down 8.8% from $25.37 million a year earlier and down 2.1% from the prior quarter.
Powered by 
Analysis
Acnb (ACNB) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Acnb's Operating Expenses came in at $92.55 million as of Jun 30, 2026, up 1.3% year-over-year; for FY2025, it was $100.52 million, up 42.2% from FY2024.
- Annual Operating Expenses has increased for four straight years, with a five-year compound annual growth rate of 10.4% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $70.69 million in FY2024 (+7.0%), $66.07 million in FY2023 (+9.6%), $60.28 million in FY2022 (+2.3%) and $58.95 million in FY2021 (-3.9%).
- Quarterly Operating Expenses has ranged from $13.28 million in Q1 2022 to $29.34 million in Q1 2025 over the past five years.
- On a year-over-year basis, Operating Expenses rose in six of the last eight quarters, with growth averaging 20.2%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 66.1% in Q1 2025, against a decline of 19.5% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $23.62 million (Q1 2026), $23.45 million (Q4 2025) and $22.36 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 27.30 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 19.72 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 13.71 Bn |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | 7.02 Bn |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 11.31 Bn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 13.74 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | Acnb | 669.87 Mn | 669.87 Mn | - | 23.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 23.22 Mn |
| Jun 30, 2026 | 23.13 Mn |
| Mar 31, 2026 | 23.62 Mn |
| Dec 31, 2025 | 23.45 Mn |
| Sep 30, 2025 | 22.36 Mn |
| Jun 30, 2025 | 25.37 Mn |
| Mar 31, 2025 | 29.34 Mn |
| Dec 31, 2024 | 18.39 Mn |
| Sep 30, 2024 | 18.24 Mn |
| Jun 30, 2024 | 16.39 Mn |
| Mar 31, 2024 | 17.66 Mn |
| Dec 31, 2023 | 17.17 Mn |
| Sep 30, 2023 | 16.34 Mn |
| Jun 30, 2023 | 16.28 Mn |
| Mar 31, 2023 | 16.28 Mn |
| Dec 31, 2022 | 16.67 Mn |
| Sep 30, 2022 | 15.32 Mn |
| Jun 30, 2022 | 15.01 Mn |
| Mar 31, 2022 | 13.28 Mn |
| Dec 31, 2021 | 17.46 Mn |
API Access
Acnb 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=ACNB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ACNB", "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=ACNB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();