MetroCity Bankshares (MCBS) Tax Provisions (2018 - 2026)
MetroCity Bankshares (MCBS) posted Tax Provisions of $8.5 million for Q2 2026, up 24.2% from $6.84 million a year earlier and up 7.5% from the prior quarter.
MetroCity Bankshares (MCBS) Tax Provisions (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at MetroCity Bankshares was $27.95 million, up 20.4% year-over-year; for FY2025, it came in at $24.16 million, up 5.9% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of 14.3% (FY2020 to FY2025).
- In prior years, MetroCity Bankshares' Tax Provisions was $22.81 million in FY2024 (+12.0%), $20.36 million in FY2023 (-28.9%), $28.62 million in FY2022 (+36.8%) and $20.92 million in FY2021 (+69.1%).
- The Q2 2026 figure stands as the highest quarterly Tax Provisions since Q4 2022.
- On a year-over-year basis, Tax Provisions has increased in each of the last five quarters, with growth averaging 15.3% over the last eight quarters.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q4 2021, with growth of 114.6%; the weakest was Q4 2023, with a decline of 48.8%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $7.91 million (Q1 2026), $4.97 million (Q4 2025) and $6.57 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 1.40 Bn |
| 10 | MetroCity Bankshares | 990.07 Mn | -275.05 Mn | - | 8.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.50 Mn |
| Mar 31, 2026 | 7.91 Mn |
| Dec 31, 2025 | 4.97 Mn |
| Sep 30, 2025 | 6.57 Mn |
| Jun 30, 2025 | 6.84 Mn |
| Mar 31, 2025 | 5.78 Mn |
| Dec 31, 2024 | 4.62 Mn |
| Sep 30, 2024 | 5.96 Mn |
| Jun 30, 2024 | 6.43 Mn |
| Mar 31, 2024 | 5.80 Mn |
| Dec 31, 2023 | 4.79 Mn |
| Sep 30, 2023 | 4.22 Mn |
| Jun 30, 2023 | 5.51 Mn |
| Mar 31, 2023 | 5.84 Mn |
| Dec 31, 2022 | 9.35 Mn |
| Sep 30, 2022 | 7.01 Mn |
| Jun 30, 2022 | 5.65 Mn |
| Mar 31, 2022 | 6.60 Mn |
| Dec 31, 2021 | 6.61 Mn |
| Sep 30, 2021 | 5.15 Mn |
MetroCity Bankshares Tax Provisions 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=tax-provisions&ticker=MCBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=MCBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();