Lloyds Banking (LLOBF) Sales of Property, Plant and Equipment (2015)
Lloyds Banking's Sales of Property, Plant and Equipment came in at $2.06 billion for the year ended Dec 31, 2025, up 6.9% from $1.92 billion a year earlier.
Lloyds Banking (LLOBF) Sales of Property, Plant and Equipment (2015) Analysis & Trends
Going back to the year ended Dec 31, 2009, Lloyds Banking's Sales of Property, Plant and Equipment data covers 17 years.
- Sales of Property, Plant and Equipment carries a five-year compound annual growth rate of 6.9% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 represents the highest annual Sales of Property, Plant and Equipment since the year ended Dec 31, 2016.
- Per Business Quant, earlier years put Sales of Property, Plant and Equipment at $1.92 billion in the year ended Dec 31, 2024 (+50.6%), $1.28 billion in the year ended Dec 31, 2023 (-33.4%), $1.92 billion in the year ended Dec 31, 2022 (-3.0%) and $1.98 billion in the year ended Dec 31, 2021 (+34.4%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | - |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | - |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 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 | - | - |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | - |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | - |
| 10 | Lloyds Banking | 111.85 Bn | -403.70 Bn | - | - |
Lloyds Banking Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=LLOBF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=LLOBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();