Hanmi Financial (HAFC) Operating Expenses (2010 - 2026)
Hanmi Financial (HAFC) reported Operating Expenses of $39.04 million for Q2 2026, up 7.4% from $36.35 million a year earlier and up 1.7% from the prior quarter.
Hanmi Financial (HAFC) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Hanmi Financial's Operating Expenses came in at $153.87 million, up 9.2% year-over-year; for FY2025, it was $147.8 million, up 4.6% from FY2024.
- Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- By year, Operating Expenses came in at $141.34 million in FY2024 (+3.5%), $136.53 million in FY2023 (+4.8%), $130.28 million in FY2022 (+4.7%) and $124.46 million in FY2021 (+4.5%).
- Five-year quarterly Operating Expenses spans a low of $31.48 million in Q2 2022 and a high of $39.11 million in Q4 2025.
- Year over year, Operating Expenses has now increased in each of the last five quarters, with growth averaging 4.5% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2025 (growth of 13.2%); the low point was Q1 2025 (a decline of 4.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $38.37 million (Q1 2026), $39.11 million (Q4 2025) and $37.36 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 | Hanmi Financial | 923.90 Mn | 923.90 Mn | - | 39.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.04 Mn |
| Mar 31, 2026 | 38.37 Mn |
| Dec 31, 2025 | 39.11 Mn |
| Sep 30, 2025 | 37.36 Mn |
| Jun 30, 2025 | 36.35 Mn |
| Mar 31, 2025 | 34.98 Mn |
| Dec 31, 2024 | 34.54 Mn |
| Sep 30, 2024 | 35.08 Mn |
| Jun 30, 2024 | 35.28 Mn |
| Mar 31, 2024 | 36.45 Mn |
| Dec 31, 2023 | 35.21 Mn |
| Sep 30, 2023 | 34.25 Mn |
| Jun 30, 2023 | 34.28 Mn |
| Mar 31, 2023 | 32.79 Mn |
| Dec 31, 2022 | 33.84 Mn |
| Sep 30, 2022 | 33.28 Mn |
| Jun 30, 2022 | 31.48 Mn |
| Mar 31, 2022 | 31.69 Mn |
| Dec 31, 2021 | 31.64 Mn |
| Sep 30, 2021 | 32.50 Mn |
Hanmi Financial 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=HAFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HAFC", "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=HAFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();