Peoples Financial (PFBX) Total Non-Current Liabilities (2009 - 2018)
Peoples Financial (PFBX) recorded Total Non-Current Liabilities of $528.06 million in Q4 2018, down 5.6% from $559.14 million a year earlier.
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Analysis
Peoples Financial (PFBX) Total Non-Current Liabilities (2009 - 2018) Analysis & Trends
Starting with Q4 2009, Peoples Financial's Total Non-Current Liabilities history includes 12 quarters.
- Across earlier years, Total Non-Current Liabilities came in at $559.14 million in FY2017.
- The Q4 2018 figure is the lowest quarterly Total Non-Current Liabilities in data going back to Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 4,639.66 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | 60,162.97 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 3,155.50 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | 381.20 Bn |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 1,603.10 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 2,449.29 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 1,977.24 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | Peoples Financial | 111.05 Mn | 111.05 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 528.06 Mn |
| Dec 31, 2017 | 559.14 Mn |
| Mar 31, 2013 | 733.34 Mn |
| Dec 31, 2012 | 690.03 Mn |
| Sep 30, 2012 | 698.77 Mn |
| Jun 30, 2012 | 738.53 Mn |
| Mar 31, 2012 | 788.33 Mn |
| Dec 31, 2011 | 690.67 Mn |
| Sep 30, 2011 | 690.90 Mn |
| Jun 30, 2011 | 696.42 Mn |
| Dec 31, 2010 | 677.10 Mn |
| Dec 31, 2009 | 749.40 Mn |
API Access
Peoples Financial Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=PFBX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "PFBX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=PFBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();