Lloyds Banking (LLOBF) Property, Plant & Equipment (Net) (2009 - 2021)
Lloyds Banking's Property, Plant & Equipment (Net) came in at $15.94 billion for the quarter ended Jun 30, 2021, up 6.1% from $15.03 billion a year earlier.
Lloyds Banking (LLOBF) Property, Plant & Equipment (Net) (2009 - 2021) Analysis & Trends
As of Dec 31, 2020, Lloyds Banking's Property, Plant & Equipment (Net) was $16.02 billion, down 6.8% from the prior year.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of -8.9% (years ended Dec 2015 to Dec 2020).
- Going back by year, Property, Plant & Equipment (Net) was $17.18 billion in the year ended Dec 31, 2019 (+10.1%), $15.61 billion in the year ended Dec 31, 2018 (-8.7%), $17.11 billion in the year ended Dec 31, 2017 (+7.3%) and $15.94 billion in the year ended Dec 31, 2016 (-37.6%).
- The five-year range for quarterly Property, Plant & Equipment (Net) is $15.03 billion (the quarter ended Jun 30, 2020) to $17.3 billion (the quarter ended Jun 30, 2019).
- Year-over-year, Property, Plant & Equipment (Net) increased in two of the last four quarters, with an average decline of 0.9%.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in the quarter ended Dec 31, 2019 (growth of 10.1%), and the weakest in the quarter ended Dec 31, 2016 (a decline of 37.6%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 38.68 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 13.91 Bn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 4.96 Bn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | - |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | - |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 11.69 Bn |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | 8.82 Bn |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 8.12 Bn |
| 10 | Lloyds Banking | 111.85 Bn | -403.70 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2021 | 15.94 Bn |
| Dec 31, 2020 | 16.02 Bn |
| Jun 30, 2020 | 15.03 Bn |
| Dec 31, 2019 | 17.18 Bn |
| Jun 30, 2019 | 17.30 Bn |
| Dec 31, 2018 | 15.61 Bn |
| Jun 30, 2018 | 16.44 Bn |
| Dec 31, 2017 | 17.11 Bn |
| Dec 31, 2016 | 15.94 Bn |
| Dec 31, 2015 | 25.55 Bn |
| Dec 31, 2014 | 19.53 Bn |
| Dec 31, 2013 | 12.49 Bn |
| Jun 30, 2013 | 11.52 Bn |
| Dec 31, 2012 | 11.87 Bn |
| Jun 30, 2012 | 11.87 Bn |
| Dec 31, 2011 | 11.83 Bn |
| Jun 30, 2011 | 12.66 Bn |
| Dec 31, 2010 | 12.64 Bn |
| Jun 30, 2010 | 13.09 Bn |
| Dec 31, 2009 | 14.93 Bn |
Lloyds Banking Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=LLOBF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=LLOBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();