Lloyds Banking (LLOBF) Receivables (2009 - 2018)
Lloyds Banking (LLOBF) recorded Receivables of $12.03 billion in the quarter ended Jun 30, 2018.
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Analysis
Lloyds Banking (LLOBF) Receivables (2009 - 2018) Analysis & Trends
As of Dec 31, 2017, Lloyds Banking reported Receivables of -$3.75 billion.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 898.55 Bn | 898.55 Bn | - | - |
| 2 | Bank Of America | 361.10 Bn | -2,014.97 Bn | - | - |
| 3 | Hsbc Holdings | 317.90 Bn | -1,511.25 Bn | - | - |
| 4 | Royal Bank Of Canada | 285.75 Bn | -544.29 Bn | - | - |
| 5 | Morgan Stanley | 285.21 Bn | -223.89 Bn | - | - |
| 6 | Goldman Sachs | 268.02 Bn | -3,289.09 Bn | - | - |
| 7 | Wells Fargo & Company | 251.40 Bn | 251.40 Bn | - | 27.33 Bn |
| 8 | Mitsubishi Ufj Financial | 240.31 Bn | -101.08 Bn | 10.89 Bn | - |
| 9 | Toronto Dominion Bank | 216.31 Bn | -459.56 Bn | - | 5.81 Bn |
| 10 | Lloyds Banking | 27.96 Bn | -493.56 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | -17.28 Bn |
| Dec 31, 2017 | 644.87 Bn |
| Sep 30, 2017 | 645.11 Bn |
| Mar 31, 2017 | 581.46 Bn |
| Dec 31, 2016 | 596.23 Bn |
| Sep 30, 2016 | 606.11 Bn |
| Mar 31, 2016 | 699.31 Bn |
| Dec 31, 2015 | 717.97 Bn |
| Sep 30, 2015 | 726.66 Bn |
| Mar 31, 2015 | 722.65 Bn |
| Dec 31, 2014 | 794.13 Bn |
| Sep 30, 2014 | 837.18 Bn |
| Mar 31, 2014 | 851.13 Bn |
| Dec 31, 2013 | 857.21 Bn |
| Sep 30, 2013 | 847.68 Bn |
| Jun 30, 2013 | 824.05 Bn |
| Mar 31, 2013 | 832.32 Bn |
| Dec 31, 2012 | 897.45 Bn |
| Sep 30, 2012 | 913.84 Bn |
| Jun 30, 2012 | 888.66 Bn |
API Access
Lloyds Banking Receivables 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=receivables&ticker=LLOBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "LLOBF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=receivables&ticker=LLOBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();