Atlantic Union Bankshares (AUB) Operating Expenses (2010 - 2026)
Atlantic Union Bankshares (AUB) posted Operating Expenses of $199.14 million for Q2 2026, down 28.8% from $279.7 million a year earlier and down 5.1% from the prior quarter.
Atlantic Union Bankshares (AUB) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Atlantic Union Bankshares was $890.64 million, up 33.7% year-over-year; for FY2025, it was $895.57 million, up 76.5% from FY2024.
- Annual Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 16.7% (FY2020 to FY2025).
- In prior years, Atlantic Union Bankshares' Operating Expenses was $507.53 million in FY2024 (+17.9%), $430.37 million in FY2023 (+6.6%), $403.8 million in FY2022 (-3.7%) and $419.2 million in FY2021 (+1.4%).
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q1 2025.
- On a year-over-year basis, Operating Expenses increased in seven of the last eight quarters, with growth averaging 44.6%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2025, with growth of 94.5%; the weakest was Q2 2026, with a decline of 28.8%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $209.81 million (Q1 2026), $243.24 million (Q4 2025) and $238.45 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 | Atlantic Union Bankshares | 5.39 Bn | 1.86 Bn | - | 199.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 199.14 Mn |
| Mar 31, 2026 | 209.81 Mn |
| Dec 31, 2025 | 243.24 Mn |
| Sep 30, 2025 | 238.45 Mn |
| Jun 30, 2025 | 279.70 Mn |
| Mar 31, 2025 | 134.18 Mn |
| Dec 31, 2024 | 129.68 Mn |
| Sep 30, 2024 | 122.58 Mn |
| Jun 30, 2024 | 150.01 Mn |
| Mar 31, 2024 | 105.27 Mn |
| Dec 31, 2023 | 107.93 Mn |
| Sep 30, 2023 | 108.51 Mn |
| Jun 30, 2023 | 105.66 Mn |
| Mar 31, 2023 | 108.27 Mn |
| Dec 31, 2022 | 99.79 Mn |
| Sep 30, 2022 | 99.92 Mn |
| Jun 30, 2022 | 98.77 Mn |
| Mar 31, 2022 | 105.32 Mn |
| Dec 31, 2021 | 119.94 Mn |
| Sep 30, 2021 | 95.34 Mn |
Atlantic Union Bankshares 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=AUB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AUB", "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=AUB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();