Merchants Bancorp (MBIN) EBITDA (2016 - 2026)
Merchants Bancorp's EBITDA was $258.72 million in Q2 2026, up 14.8% from $225.29 million a year earlier and up 13.7% from the prior quarter.
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Analysis
Merchants Bancorp (MBIN) EBITDA (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Merchants Bancorp's EBITDA was $969.79 million through Jun 30, 2026, down 9.5% year-over-year; for FY2025, it came in at $951.09 million, down 21.1% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 24.5% (FY2020 to FY2025).
- In earlier years, EBITDA was $1.21 billion in FY2024 (+23.0%), $980.53 million in FY2023 (+115.1%), $455.92 million in FY2022 (+32.0%) and $345.31 million in FY2021 (+8.7%).
- The Q2 2026 figure marks the highest quarterly EBITDA since Q4 2024.
- Compared with a year earlier, EBITDA was higher in three of the last eight quarters, with an average decline of 8.2%.
- The best year-over-year quarter for EBITDA over five years was Q2 2023 (growth of 146.7%); the worst was Q2 2025 (a decline of 24.9%).
- Per Business Quant data, MBIN's EBITDA in the three quarters before Q2 2026 was $227.54 million (Q1 2026), $244.46 million (Q4 2025) and $239.07 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 20.89 Bn |
| 10 | Merchants Bancorp | 2.28 Bn | -1.22 Bn | - | 258.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 258.72 Mn |
| Mar 31, 2026 | 227.54 Mn |
| Dec 31, 2025 | 244.46 Mn |
| Sep 30, 2025 | 239.07 Mn |
| Jun 30, 2025 | 225.29 Mn |
| Mar 31, 2025 | 242.28 Mn |
| Dec 31, 2024 | 315.36 Mn |
| Sep 30, 2024 | 288.24 Mn |
| Jun 30, 2024 | 300.03 Mn |
| Mar 31, 2024 | 302.13 Mn |
| Dec 31, 2023 | 287.67 Mn |
| Sep 30, 2023 | 286.53 Mn |
| Jun 30, 2023 | 221.73 Mn |
| Mar 31, 2023 | 184.61 Mn |
| Dec 31, 2022 | 161.57 Mn |
| Sep 30, 2022 | 126.75 Mn |
| Jun 30, 2022 | 89.89 Mn |
| Mar 31, 2022 | 77.72 Mn |
| Dec 31, 2021 | 86.97 Mn |
| Sep 30, 2021 | 87.57 Mn |
API Access
Merchants Bancorp EBITDA 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=ebitda&ticker=MBIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "MBIN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=MBIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();