Metropolitan Bank Holding (MCB) Other Non-Current Liabilities (2016 - 2026)
Metropolitan Bank Holding's Other Non-Current Liabilities was $122.48 million in Q2 2026, up 20.6% from $101.59 million a year earlier and up 2.5% from the prior quarter.
Metropolitan Bank Holding (MCB) Other Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Liabilities at Metropolitan Bank Holding came in at $103.83 million, down 5.5% from FY2024.
- Other Non-Current Liabilities shows a five-year compound annual growth rate of 45.7% (FY2020 to FY2025).
- In earlier years, Other Non-Current Liabilities was $109.89 million in FY2024 (+16.9%), $93.98 million in FY2023 (-24.6%), $124.6 million in FY2022 (+235.3%) and $37.16 million in FY2021 (+134.7%).
- The Q2 2026 figure marks the highest quarterly Other Non-Current Liabilities since Q3 2023.
- Compared with a year earlier, Other Non-Current Liabilities was higher in four of the last eight quarters, with growth averaging 5.2%.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was Q1 2023 (growth of 464.1%); the worst was Q3 2022 (a decline of 56.5%).
- Per Business Quant data, MCB's Other Non-Current Liabilities in the three quarters before Q2 2026 was $119.47 million (Q1 2026), $103.83 million (Q4 2025) and $116.66 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 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 | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - |
| 10 | Metropolitan Bank Holding | 1.09 Bn | -603.87 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 122.48 Mn |
| Mar 31, 2026 | 119.47 Mn |
| Dec 31, 2025 | 103.83 Mn |
| Sep 30, 2025 | 116.66 Mn |
| Jun 30, 2025 | 101.59 Mn |
| Mar 31, 2025 | 106.14 Mn |
| Dec 31, 2024 | 109.89 Mn |
| Sep 30, 2024 | 118.19 Mn |
| Jun 30, 2024 | 102.76 Mn |
| Mar 31, 2024 | 95.43 Mn |
| Dec 31, 2023 | 93.98 Mn |
| Sep 30, 2023 | 133.32 Mn |
| Jun 30, 2023 | 130.26 Mn |
| Mar 31, 2023 | 135.90 Mn |
| Dec 31, 2022 | 124.60 Mn |
| Sep 30, 2022 | 9.40 Mn |
| Jun 30, 2022 | 23.53 Mn |
| Mar 31, 2022 | 24.09 Mn |
| Dec 31, 2021 | 37.16 Mn |
| Sep 30, 2021 | 21.58 Mn |
Metropolitan Bank Holding Other Non-Current 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=other-non-current-liabilities&ticker=MCB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-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=other-non-current-liabilities&ticker=MCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();