Lloyds Banking (LLOBF) Capital Expenditures (2010 - 2022)
Lloyds Banking (LLOBF) recorded Capital Expenditures of -$6.79 billion in the year ended Dec 31, 2025, compared with -$5.58 billion a year earlier.
Lloyds Banking (LLOBF) Capital Expenditures (2010 - 2022) Analysis & Trends
Starting with the year ended Dec 31, 2009, Lloyds Banking's Capital Expenditures history includes 17 years.
- The figure for the year ended Dec 31, 2025 is the lowest annual Capital Expenditures in data going back to the year ended Dec 31, 2009.
- Per Business Quant data, LLOBF's Capital Expenditures was -$5.58 billion in the year ended Dec 31, 2024, -$4.93 billion in the year ended Dec 31, 2023, -$3.01 billion in the year ended Dec 31, 2022 and -$4.44 billion in the year ended Dec 31, 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 913.36 Bn | 913.36 Bn | - | - |
| 2 | Bank Of America | 364.23 Bn | -2,011.84 Bn | - | - |
| 3 | Hsbc Holdings | 299.36 Bn | -1,804.23 Bn | - | - |
| 4 | Morgan Stanley | 293.65 Bn | 293.65 Bn | - | - |
| 5 | Royal Bank Of Canada | 285.83 Bn | -544.21 Bn | - | - |
| 6 | Goldman Sachs | 276.99 Bn | 276.99 Bn | - | - |
| 7 | Wells Fargo & Company | 255.51 Bn | 255.51 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 243.84 Bn | -97.55 Bn | 10.89 Bn | - |
| 9 | Toronto Dominion Bank | 217.25 Bn | -458.62 Bn | - | - |
| 10 | Lloyds Banking | 27.96 Bn | -493.56 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | -4.52 Bn |
| Dec 31, 2021 | -4.35 Bn |
| Dec 31, 2020 | -3.83 Bn |
| Dec 31, 2019 | -4.43 Bn |
| Dec 31, 2018 | -4.52 Bn |
| Dec 31, 2015 | -5.19 Bn |
| Dec 31, 2014 | -5.45 Bn |
| Dec 31, 2013 | -4.83 Bn |
| Dec 31, 2012 | -4.82 Bn |
| Dec 31, 2011 | -4.86 Bn |
| Dec 31, 2010 | -5.08 Bn |
Lloyds Banking Capital Expenditures 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=capital-expenditures&ticker=LLOBF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=LLOBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();