MetroCity Bankshares (MCBS) Cash & Equivalents (2018 - 2026)
MetroCity Bankshares' Cash & Equivalents was $266.69 million in Q2 2026, down 6.8% from $286.01 million a year earlier and down 31.2% from the prior quarter.
MetroCity Bankshares (MCBS) Cash & Equivalents (2018 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at MetroCity Bankshares came in at $383.68 million, up 53.5% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 20.6% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $249.88 million in FY2024 (+72.6%), $144.81 million in FY2023 (-19.3%), $179.49 million in FY2022 (-59.3%) and $441.34 million in FY2021 (+192.9%).
- Quarterly Cash & Equivalents has moved between $144.81 million (Q4 2023) and $441.34 million (Q4 2021) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in five of the last eight quarters, with growth averaging 16.7%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q4 2021 (growth of 192.9%); the worst was Q4 2022 (a decline of 59.3%).
- Per Business Quant data, MCBS's Cash & Equivalents in the three quarters before Q2 2026 was $387.6 million (Q1 2026), $383.68 million (Q4 2025) and $227.16 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (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 | - | 229.75 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 29.08 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 160.14 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 46.00 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 | - | 187.27 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | MetroCity Bankshares | 986.62 Mn | -278.50 Mn | - | 266.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 266.69 Mn |
| Mar 31, 2026 | 387.60 Mn |
| Dec 31, 2025 | 383.68 Mn |
| Sep 30, 2025 | 227.16 Mn |
| Jun 30, 2025 | 286.01 Mn |
| Mar 31, 2025 | 285.06 Mn |
| Dec 31, 2024 | 249.88 Mn |
| Sep 30, 2024 | 291.21 Mn |
| Jun 30, 2024 | 327.86 Mn |
| Mar 31, 2024 | 258.84 Mn |
| Dec 31, 2023 | 144.81 Mn |
| Sep 30, 2023 | 282.06 Mn |
| Jun 30, 2023 | 262.73 Mn |
| Mar 31, 2023 | 224.06 Mn |
| Dec 31, 2022 | 179.49 Mn |
| Sep 30, 2022 | 179.72 Mn |
| Jun 30, 2022 | 223.10 Mn |
| Mar 31, 2022 | 424.73 Mn |
| Dec 31, 2021 | 441.34 Mn |
| Sep 30, 2021 | 253.29 Mn |
MetroCity Bankshares 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=MCBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "MCBS", "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=MCBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();