Metropolitan Bank Holding (MCB) Total Liabilities (2016 - 2026)
Metropolitan Bank Holding's Total Liabilities was $8.5 billion in Q3 2026, up 13.2% from $7.5 billion a year earlier and up 7.7% from the prior quarter.
Metropolitan Bank Holding (MCB) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Metropolitan Bank Holding came in at $7.51 billion, up 14.3% from FY2024.
- Total Liabilities has now increased for three consecutive years, with a five-year compound annual growth rate of 13.5% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $6.57 billion in FY2024 (+2.5%), $6.41 billion in FY2023 (+12.6%), $5.69 billion in FY2022 (-13.2%) and $6.56 billion in FY2021 (+64.4%).
- The Q3 2026 figure marks the highest quarterly Total Liabilities in data going back to Q4 2016.
- Compared with a year earlier, Total Liabilities has increased for 13 straight quarters, with growth averaging 9.7% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2021 (growth of 64.4%); the worst was Q4 2022 (a decline of 13.2%).
- Per Business Quant data, MCB's Total Liabilities in the three quarters before Q3 2026 was $7.89 billion (Q2 2026), $7.9 billion (Q1 2026) and $7.51 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 4,719.18 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | 69.48 Bn |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 3,130.96 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | 3,241.48 Bn |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 1,573.71 Bn |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | 1,679.93 Bn |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 2,055.50 Bn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 2,075.41 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | 2,532.15 Bn |
| 10 | Metropolitan Bank Holding | 1.19 Bn | -500.36 Mn | - | 7.89 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.89 Bn |
| Mar 31, 2026 | 7.90 Bn |
| Dec 31, 2025 | 7.51 Bn |
| Sep 30, 2025 | 7.50 Bn |
| Jun 30, 2025 | 7.13 Bn |
| Mar 31, 2025 | 6.88 Bn |
| Dec 31, 2024 | 6.57 Bn |
| Sep 30, 2024 | 6.69 Bn |
| Jun 30, 2024 | 6.57 Bn |
| Mar 31, 2024 | 6.78 Bn |
| Dec 31, 2023 | 6.41 Bn |
| Sep 30, 2023 | 6.05 Bn |
| Jun 30, 2023 | 5.90 Bn |
| Mar 31, 2023 | 5.70 Bn |
| Dec 31, 2022 | 5.69 Bn |
| Sep 30, 2022 | 5.84 Bn |
| Jun 30, 2022 | 6.29 Bn |
| Mar 31, 2022 | 6.07 Bn |
| Dec 31, 2021 | 6.56 Bn |
| Sep 30, 2021 | 5.60 Bn |
Metropolitan Bank Holding Total Liabilities 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=total-liabilities&ticker=MCB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "MCB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=MCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();