MetroCity Bankshares (MCBS) Accumulated Expenses (2018 - 2025)
MetroCity Bankshares (MCBS) reported Accumulated Expenses of $3,000 for Q4 2025, down 99.4% from $506,000 a year earlier.
Powered by 
Analysis
MetroCity Bankshares (MCBS) Accumulated Expenses (2018 - 2025) Analysis & Trends
Dating back to Q4 2018, MetroCity Bankshares' Accumulated Expenses record includes 8 quarters.
- Accumulated Expenses has a five-year compound annual growth rate of -63.9% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $506,000 in FY2024 (+26.2%), $401,000 in FY2023 (+28.1%), $313,000 in FY2022 (-40.4%) and $525,000 in FY2021 (+8.0%).
- The Q4 2025 figure ranks as the lowest quarterly Accumulated Expenses in data going back to Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 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 | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | MetroCity Bankshares | 986.62 Mn | -278.50 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3,000.00 |
| Dec 31, 2024 | 506,000.00 |
| Dec 31, 2023 | 401,000.00 |
| Dec 31, 2022 | 313,000.00 |
| Dec 31, 2021 | 525,000.00 |
| Dec 31, 2020 | 486,000.00 |
| Dec 31, 2019 | 520,000.00 |
| Dec 31, 2018 | 393,000.00 |
API Access
MetroCity Bankshares Accumulated Expenses 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=accumulated-expenses&ticker=MCBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=MCBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();