Merchants Bancorp (MBINM) Revenue (2016 - 2026)
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Analysis
Merchants Bancorp (MBINM) Revenue (2016 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 182.22 Mn |
| Mar 31, 2026 | 175.25 Mn |
| Dec 31, 2025 | 185.29 Mn |
| Sep 30, 2025 | 171.07 Mn |
| Jun 30, 2025 | 179.20 Mn |
| Mar 31, 2025 | 145.89 Mn |
| Dec 31, 2024 | 193.77 Mn |
| Sep 30, 2024 | 149.56 Mn |
| Jun 30, 2024 | 159.47 Mn |
| Mar 31, 2024 | 167.93 Mn |
| Dec 31, 2023 | 158.78 Mn |
| Sep 30, 2023 | 153.50 Mn |
| Jun 30, 2023 | 135.50 Mn |
| Mar 31, 2023 | 114.96 Mn |
| Dec 31, 2022 | 118.39 Mn |
| Sep 30, 2022 | 114.57 Mn |
| Jun 30, 2022 | 111.20 Mn |
| Mar 31, 2022 | 100.32 Mn |
| Dec 31, 2021 | 113.01 Mn |
| Sep 30, 2021 | 109.15 Mn |
API Access
Merchants Bancorp Revenue 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=revenue&ticker=MBINM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=MBINM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();