Dime Commercial Bancshares (DCOM) Provisions (2010 - 2026)
Dime Commercial Bancshares (DCOM) recorded Provisions of $13.88 million in Q2 2026, up 50.5% from $9.22 million a year earlier and up 12.7% from the prior quarter.
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Analysis
Dime Commercial Bancshares (DCOM) Provisions (2010 - 2026) Analysis & Trends
On a TTM basis, Dime Commercial Bancshares' Provisions came in at $50.37 million as of Jun 30, 2026, up 14.1% year-over-year; for FY2025, it was $43.03 million, up 19.2% from FY2024.
- Annual Provisions has a five-year compound annual growth rate of 10.5% (FY2020 to FY2025).
- Across earlier years, Provisions came in at $36.11 million in FY2024, $2.77 million in FY2023 (-59.9%), $6.91 million in FY2022 (+11.2%) and $6.21 million in FY2021 (-76.3%).
- The Q2 2026 figure is the highest quarterly Provisions since Q1 2022.
- On a year-over-year basis, Provisions rose in seven of the last eight quarters, with growth averaging 129.2%.
- Peak year-over-year performance for Provisions in the last five years was growth of 980.0% in Q4 2021, against a decline of 93.8% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $12.31 million (Q1 2026), $10.89 million (Q4 2025) and $13.29 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 2.52 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 1.38 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 110.00 Mn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 717.20 Mn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | -647.66 Mn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 124.00 Mn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 914.00 Mn |
| 10 | Dime Commercial Bancshares | 1.75 Bn | 1.75 Bn | - | 13.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.88 Mn |
| Mar 31, 2026 | 12.31 Mn |
| Dec 31, 2025 | 10.89 Mn |
| Sep 30, 2025 | 13.29 Mn |
| Jun 30, 2025 | 9.22 Mn |
| Mar 31, 2025 | 9.63 Mn |
| Dec 31, 2024 | 13.72 Mn |
| Sep 30, 2024 | 11.60 Mn |
| Jun 30, 2024 | 5.59 Mn |
| Mar 31, 2024 | 5.21 Mn |
| Dec 31, 2023 | 3.72 Mn |
| Sep 30, 2023 | 1.81 Mn |
| Jun 30, 2023 | 892,000.00 |
| Mar 31, 2023 | -3.65 Mn |
| Dec 31, 2022 | 335,000.00 |
| Sep 30, 2022 | 6.59 Mn |
| Jun 30, 2022 | 366,000.00 |
| Mar 31, 2022 | 16.62 Mn |
| Dec 31, 2021 | 5.40 Mn |
| Sep 30, 2021 | -7.31 Mn |
API Access
Dime Commercial Bancshares 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=provisions&ticker=DCOM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provisions", "ticker": "DCOM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=provisions&ticker=DCOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();