Auburn National Bancorporation (AUBN) Operating Expenses (2010 - 2026)
Auburn National Bancorporation (AUBN) recorded Operating Expenses of $6.11 million in Q2 2026, up 7.1% from $5.7 million a year earlier and up 3.5% from the prior quarter.
Auburn National Bancorporation (AUBN) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Auburn National Bancorporation's Operating Expenses came in at $23.38 million as of Jun 30, 2026, up 3.6% year-over-year; for FY2025, it came in at $22.95 million, up 3.5% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $22.17 million in FY2024 (-1.9%), $22.59 million in FY2023 (+14.0%), $19.82 million in FY2022 (+2.0%) and $19.43 million in FY2021 (-0.6%).
- The Q2 2026 figure is the highest quarterly Operating Expenses since Q1 2012.
- On a year-over-year basis, Operating Expenses has increased for six consecutive quarters, with growth averaging 2.3% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 30.4% in Q4 2023, against a decline of 12.3% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.9 million (Q1 2026), $5.56 million (Q4 2025) and $5.81 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 13.66 Bn |
| 10 | Auburn National Bancorporation | 92.37 Mn | -556.21 Mn | - | 6.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.11 Mn |
| Mar 31, 2026 | 5.90 Mn |
| Dec 31, 2025 | 5.56 Mn |
| Sep 30, 2025 | 5.81 Mn |
| Jun 30, 2025 | 5.70 Mn |
| Mar 31, 2025 | 5.88 Mn |
| Dec 31, 2024 | 5.47 Mn |
| Sep 30, 2024 | 5.50 Mn |
| Jun 30, 2024 | 5.52 Mn |
| Mar 31, 2024 | 5.68 Mn |
| Dec 31, 2023 | 5.80 Mn |
| Sep 30, 2023 | 5.36 Mn |
| Jun 30, 2023 | 5.83 Mn |
| Mar 31, 2023 | 5.60 Mn |
| Dec 31, 2022 | 4.45 Mn |
| Sep 30, 2022 | 5.42 Mn |
| Jun 30, 2022 | 5.06 Mn |
| Mar 31, 2022 | 4.90 Mn |
| Dec 31, 2021 | 5.07 Mn |
| Sep 30, 2021 | 4.76 Mn |
Auburn National Bancorporation 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=AUBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AUBN", "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=AUBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();