Pnc Financial Services (PNC) Long-Term Debt Repayments (2010 - 2023)
Pnc Financial Services' Long-Term Debt Repayments came in at $50 million for Q1 2023.
Pnc Financial Services (PNC) Long-Term Debt Repayments (2010 - 2023) Analysis & Trends
Over the trailing twelve months to Mar 31, 2023, Pnc Financial Services reported Long-Term Debt Repayments of $5.95 billion; for FY2020, it came in at $6.3 billion.
- The Q1 2023 figure represents the highest quarterly Long-Term Debt Repayments since Q2 2020.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 28.02 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 27.22 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 26.48 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -120.49 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 20.41 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 12.00 Bn |
| 10 | Pnc Financial Services | 88.67 Bn | 88.73 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 50.00 Mn |
| Jun 30, 2020 | 5.90 Bn |
| Mar 31, 2020 | 400.00 Mn |
| Jun 30, 2014 | 2.54 Bn |
| Mar 31, 2014 | 3.00 Bn |
| Dec 31, 2013 | 3.00 Bn |
| Sep 30, 2013 | 4.00 Bn |
| Jun 30, 2013 | 2.00 Bn |
| Mar 31, 2013 | 3.95 Bn |
| Dec 31, 2012 | 1.51 Bn |
| Sep 30, 2012 | 4.50 Bn |
| Jun 30, 2012 | 517.00 Mn |
| Mar 31, 2012 | 3.98 Bn |
| Dec 31, 2011 | 48.00 Mn |
| Sep 30, 2011 | -3.22 Bn |
| Jun 30, 2011 | 2.18 Bn |
| Mar 31, 2011 | 2.07 Bn |
| Dec 31, 2010 | 517.00 Mn |
| Sep 30, 2010 | 1.51 Bn |
| Jun 30, 2010 | 585.00 Mn |
Pnc Financial Services 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=PNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "PNC", "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=PNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();