Merchants Bancorp (MBINM) Price to Earnings (2017 - 2026)
Merchants Bancorp's (MBINM) Price to Earnings was 8.06 for Q3 2026, up 10.2% from 7.31 a year earlier but down 19.8% from the prior quarter.
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Analysis
Merchants Bancorp (MBINM) Price to Earnings (2017 - 2026) Analysis & Trends
For FY2025, Price to Earnings at Merchants Bancorp was 9.01, up 53.1% from FY2024.
- By year, Price to Earnings came in at 5.88 in FY2024 (-21.8%), 7.53 in FY2023 (+39.1%), 5.41 in FY2022 (-18.1%) and 6.61 in FY2021 (+38.1%).
- Five-year quarterly Price to Earnings spans a low of 5.01 in Q2 2022 and a high of 10.46 in Q1 2026.
- Year over year, Price to Earnings has now increased in each of the last four quarters, with growth averaging 17.6% over the last eight quarters.
- The high point for year-over-year Price to Earnings in five years was Q4 2025 (growth of 53.1%); the low point was Q4 2024 (a decline of 21.8%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 10.04 (Q2 2026), 10.46 (Q1 2026) and 9.01 (Q4 2025).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.04 |
| Mar 31, 2026 | 10.46 |
| Dec 31, 2025 | 9.01 |
| Sep 30, 2025 | 7.31 |
| Jun 30, 2025 | 7.27 |
| Mar 31, 2025 | 6.85 |
| Dec 31, 2024 | 5.88 |
| Sep 30, 2024 | 7.69 |
| Jun 30, 2024 | 6.47 |
| Mar 31, 2024 | 6.77 |
| Dec 31, 2023 | 7.53 |
| Sep 30, 2023 | 5.35 |
| Jun 30, 2023 | 5.42 |
| Mar 31, 2023 | 5.76 |
| Dec 31, 2022 | 5.41 |
| Sep 30, 2022 | 5.10 |
| Jun 30, 2022 | 5.01 |
| Mar 31, 2022 | 6.16 |
| Dec 31, 2021 | 6.61 |
| Sep 30, 2021 | 5.34 |
API Access
Merchants Bancorp Price to Earnings 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=price-to-earnings&ticker=MBINM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "MBINM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=MBINM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();