Medallion Financial (MFIN) Operating Expenses (2017 - 2025)
Medallion Financial's Operating Expenses came in at $20.7 million for Q3 2025, up 9.0% from $19 million a year earlier but down 3.9% from the prior quarter.
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Analysis
Medallion Financial (MFIN) Operating Expenses (2017 - 2025) Analysis & Trends
Over the trailing twelve months to Sep 30, 2025, Medallion Financial reported Operating Expenses of $80.22 million, up 5.1% year-over-year; for FY2024, it came in at $74.43 million, down 1.5% from FY2023.
- Operating Expenses carries a five-year compound annual growth rate of 1.8% (FY2019 to FY2024).
- Going back by year, Operating Expenses was $75.57 million in FY2023 (+4.9%), $72.05 million in FY2022 (-1.2%), $72.9 million in FY2021 (+1.2%) and $72.04 million in FY2020 (+5.7%).
- The five-year range for quarterly Operating Expenses is $14.64 million (Q1 2021) to $21.55 million (Q2 2025).
- Year-over-year, Operating Expenses has increased for three consecutive quarters, with growth averaging 5.7% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2022 (growth of 23.2%), and the weakest in Q1 2021 (a decline of 24.0%).
- Business Quant data shows MFIN's Operating Expenses at $21.55 million (Q2 2025), $20.76 million (Q1 2025) and $17.21 million (Q4 2024) in the three quarters before Q3 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 13.66 Bn |
| 10 | Medallion Financial | 280.91 Mn | -70.27 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 20.70 Mn |
| Jun 30, 2025 | 21.55 Mn |
| Mar 31, 2025 | 20.76 Mn |
| Dec 31, 2024 | 17.21 Mn |
| Sep 30, 2024 | 19.00 Mn |
| Jun 30, 2024 | 20.00 Mn |
| Mar 31, 2024 | 18.23 Mn |
| Dec 31, 2023 | 19.08 Mn |
| Sep 30, 2023 | 19.09 Mn |
| Jun 30, 2023 | 19.00 Mn |
| Mar 31, 2023 | 18.39 Mn |
| Dec 31, 2022 | 15.80 Mn |
| Sep 30, 2022 | 19.41 Mn |
| Jun 30, 2022 | 18.81 Mn |
| Mar 31, 2022 | 18.03 Mn |
| Dec 31, 2021 | 19.71 Mn |
| Sep 30, 2021 | 18.72 Mn |
| Jun 30, 2021 | 19.82 Mn |
| Mar 31, 2021 | 14.64 Mn |
| Dec 31, 2020 | 17.90 Mn |
API Access
Medallion 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=MFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MFIN", "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=MFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();