Metropolitan Bank Holding (MCB) Long-Term Investments (2016 - 2026)
Metropolitan Bank Holding (MCB) posted Long-Term Investments of $27.76 million for Q2 2026, up 1.7% from $27.3 million a year earlier and up 33.9% from the prior quarter.
Metropolitan Bank Holding (MCB) Long-Term Investments (2016 - 2026) Analysis & Trends
At the end of FY2025, Metropolitan Bank Holding's Long-Term Investments came in at $20.63 million, down 32.7% from FY2024.
- Annual Long-Term Investments shows a five-year compound annual growth rate of 12.2% (FY2020 to FY2025).
- In prior years, Metropolitan Bank Holding's Long-Term Investments was $30.64 million in FY2024 (-21.4%), $38.97 million in FY2023 (+76.2%), $22.11 million in FY2022 (+84.3%) and $12 million in FY2021 (+3.5%).
- The Q2 2026 figure stands as the highest quarterly Long-Term Investments since Q4 2024.
- On a year-over-year basis, Long-Term Investments increased in three of the last eight quarters, with an average decline of 13.9%.
- The strongest year-over-year quarter for Long-Term Investments in the past five years was Q3 2023, with growth of 100.3%; the weakest was Q4 2025, with a decline of 32.7%.
- According to Business Quant data, Long-Term Investments for the three prior quarters was $20.73 million (Q1 2026), $20.63 million (Q4 2025) and $27.33 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 24.30 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 255.63 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | Metropolitan Bank Holding | 1.08 Bn | -610.06 Mn | - | 27.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.76 Mn |
| Mar 31, 2026 | 20.73 Mn |
| Dec 31, 2025 | 20.63 Mn |
| Sep 30, 2025 | 27.33 Mn |
| Jun 30, 2025 | 27.30 Mn |
| Mar 31, 2025 | 27.06 Mn |
| Dec 31, 2024 | 30.64 Mn |
| Sep 30, 2024 | 26.59 Mn |
| Jun 30, 2024 | 26.58 Mn |
| Mar 31, 2024 | 32.67 Mn |
| Dec 31, 2023 | 38.97 Mn |
| Sep 30, 2023 | 35.02 Mn |
| Jun 30, 2023 | 28.04 Mn |
| Mar 31, 2023 | 27.10 Mn |
| Dec 31, 2022 | 22.11 Mn |
| Sep 30, 2022 | 17.48 Mn |
| Jun 30, 2022 | 17.36 Mn |
| Mar 31, 2022 | 15.99 Mn |
| Dec 31, 2021 | 12.00 Mn |
| Sep 30, 2021 | 12.00 Mn |
Metropolitan Bank Holding Long-Term Investments 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=long-term-investments&ticker=MCB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=MCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();