Amerant Bancorp (AMTB) Operating Expenses (2017 - 2026)
Amerant Bancorp (AMTB) posted Operating Expenses of $68.88 million for Q2 2026, down 7.4% from $74.4 million a year earlier but up 2.9% from the prior quarter.
Amerant Bancorp (AMTB) Operating Expenses (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Amerant Bancorp was $320.4 million, up 4.9% year-over-year; for FY2025, it was $330.56 million, up 10.4% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 13.1% (FY2020 to FY2025).
- In prior years, Amerant Bancorp's Operating Expenses was $299.49 million in FY2024 (-3.8%), $311.36 million in FY2023 (+29.0%), $241.41 million in FY2022 (+21.8%) and $198.24 million in FY2021 (+10.9%).
- Quarterly Operating Expenses has run from a low of $48.4 million in Q3 2021 to a high of $109.7 million in Q4 2023 over five years.
- On a year-over-year basis, Operating Expenses increased in five of the last eight quarters, with growth averaging 2.4%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2023, with growth of 76.3%; the weakest was Q4 2024, with a decline of 24.0%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $66.92 million (Q1 2026), $106.77 million (Q4 2025) and $77.84 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 | Amerant Bancorp | 1.14 Bn | -586.75 Mn | - | 68.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.88 Mn |
| Mar 31, 2026 | 66.92 Mn |
| Dec 31, 2025 | 106.77 Mn |
| Sep 30, 2025 | 77.84 Mn |
| Jun 30, 2025 | 74.40 Mn |
| Mar 31, 2025 | 71.55 Mn |
| Dec 31, 2024 | 83.39 Mn |
| Sep 30, 2024 | 76.21 Mn |
| Jun 30, 2024 | 73.30 Mn |
| Mar 31, 2024 | 66.59 Mn |
| Dec 31, 2023 | 109.70 Mn |
| Sep 30, 2023 | 64.42 Mn |
| Jun 30, 2023 | 72.50 Mn |
| Mar 31, 2023 | 64.73 Mn |
| Dec 31, 2022 | 62.24 Mn |
| Sep 30, 2022 | 56.11 Mn |
| Jun 30, 2022 | 62.24 Mn |
| Mar 31, 2022 | 60.82 Mn |
| Dec 31, 2021 | 55.09 Mn |
| Sep 30, 2021 | 48.40 Mn |
Amerant Bancorp 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=AMTB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AMTB", "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=AMTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();