Peoples Financial (PFBX) Total Liabilities (2009 - 2019)
Peoples Financial's Total Liabilities was $529.85 million in Q4 2018, down 5.5% from $560.93 million a year earlier.
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Analysis
Peoples Financial (PFBX) Total Liabilities (2009 - 2019) Analysis & Trends
From Q4 2009 onward, Peoples Financial has reported Total Liabilities for 13 quarters.
- In earlier years, Total Liabilities was $560.93 million in FY2017 (-6.4%) and $599.55 million in FY2016.
- The Q4 2018 figure marks the lowest quarterly Total Liabilities in data going back to Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 4,719.18 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 3,130.96 Bn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | 3,248.55 Bn |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 1,679.93 Bn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 1,573.71 Bn |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 2,055.50 Bn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 2,075.41 Bn |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | 2,571.74 Bn |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 274.48 Bn |
| 10 | Peoples Financial | 110.82 Mn | 110.82 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 542.28 Mn |
| Dec 31, 2018 | 529.85 Mn |
| Dec 31, 2017 | 560.93 Mn |
| Dec 31, 2016 | 599.55 Mn |
| Dec 31, 2013 | 663.12 Mn |
| Mar 31, 2013 | 736.96 Mn |
| Dec 31, 2012 | 694.16 Mn |
| Sep 30, 2012 | 702.27 Mn |
| Jun 30, 2012 | 741.88 Mn |
| Mar 31, 2012 | 791.91 Mn |
| Dec 31, 2011 | 694.70 Mn |
| Sep 30, 2011 | 709.66 Mn |
| Jun 30, 2011 | 714.97 Mn |
| Dec 31, 2010 | 685.19 Mn |
| Dec 31, 2009 | 765.42 Mn |
API Access
Peoples Financial Total 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-liabilities&ticker=PFBX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=PFBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();