Merchants Bancorp (MBIN) Cash & Equivalents (2016 - 2026)
Merchants Bancorp (MBIN) reported Cash & Equivalents of $314.7 million for Q2 2026, down 51.4% from $647.17 million a year earlier but up 278.2% from the prior quarter.
Merchants Bancorp (MBIN) Cash & Equivalents (2016 - 2026) Analysis & Trends
At the end of FY2025, Merchants Bancorp posted Cash & Equivalents of $212.2 million, down 55.5% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $476.61 million in FY2024 (-18.4%), $584.42 million in FY2023 (+158.4%), $226.16 million in FY2022 (-78.1%) and $1.03 billion in FY2021 (+474.5%).
- Five-year quarterly Cash & Equivalents spans a low of $83.22 million in Q1 2026 and a high of $1.03 billion in Q4 2021.
- Year over year, Cash & Equivalents has now declined in each of the last four quarters, with an average decline of 17.5% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q4 2021 (growth of 474.5%); the low point was Q1 2026 (a decline of 84.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $83.22 million (Q1 2026), $212.2 million (Q4 2025) and $598.04 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 229.75 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | 29.08 Bn |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 160.14 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 46.00 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 187.27 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | Merchants Bancorp | 2.29 Bn | -1.20 Bn | - | 314.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 314.70 Mn |
| Mar 31, 2026 | 83.22 Mn |
| Dec 31, 2025 | 212.20 Mn |
| Sep 30, 2025 | 598.04 Mn |
| Jun 30, 2025 | 647.17 Mn |
| Mar 31, 2025 | 521.30 Mn |
| Dec 31, 2024 | 476.61 Mn |
| Sep 30, 2024 | 601.91 Mn |
| Jun 30, 2024 | 540.88 Mn |
| Mar 31, 2024 | 508.76 Mn |
| Dec 31, 2023 | 584.42 Mn |
| Sep 30, 2023 | 407.24 Mn |
| Jun 30, 2023 | 377.31 Mn |
| Mar 31, 2023 | 369.59 Mn |
| Dec 31, 2022 | 226.16 Mn |
| Sep 30, 2022 | 323.96 Mn |
| Jun 30, 2022 | 258.15 Mn |
| Mar 31, 2022 | 411.52 Mn |
| Dec 31, 2021 | 1.03 Bn |
| Sep 30, 2021 | 802.58 Mn |
Merchants Bancorp Cash & Equivalents 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=cash-and-equivalents&ticker=MBIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MBIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();