Dime Commercial Bancshares (DCOM) Long-Term Debt Repayments (2013 - 2026)
Dime Commercial Bancshares (DCOM) recorded Long-Term Debt Repayments of $40 million in Q1 2026.
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Analysis
Dime Commercial Bancshares (DCOM) Long-Term Debt Repayments (2013 - 2026) Analysis & Trends
For FY2017, Dime Commercial Bancshares reported Long-Term Debt Repayments of $352,000.
- Across earlier years, Long-Term Debt Repayments came in at $1.45 million in FY2014 and -$83 million in FY2013.
- The Q1 2026 figure is the highest quarterly Long-Term Debt Repayments since Q2 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 28.02 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 27.22 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 26.48 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | -120.49 Mn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 20.41 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 12.00 Bn |
| 10 | Dime Commercial Bancshares | 1.74 Bn | 1.74 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 40.00 Mn |
| Mar 31, 2017 | 5.41 Mn |
| Dec 31, 2016 | -27.62 Mn |
| Sep 30, 2016 | -70.79 Mn |
| Jun 30, 2016 | 100.21 Mn |
| Mar 31, 2016 | -1.79 Mn |
| Dec 31, 2015 | -60.71 Mn |
| Sep 30, 2015 | 62.21 Mn |
| Jun 30, 2015 | -33.00 Mn |
| Mar 31, 2015 | 31.50 Mn |
| Dec 31, 2014 | 15.45 Mn |
| Sep 30, 2014 | -5.00 Mn |
| Jun 30, 2014 | 6.00 Mn |
| Mar 31, 2014 | -15.00 Mn |
| Dec 31, 2013 | -58.00 Mn |
| Sep 30, 2013 | 35.00 Mn |
API Access
Dime Commercial Bancshares Long-Term Debt Repayments 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-debt-repayments&ticker=DCOM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=DCOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();