Lloyds Banking (LLOBF) Loans - Net (2009 - 2026)
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Analysis
Lloyds Banking (LLOBF) Loans - Net (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Net (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 903.40 Bn | 903.40 Bn | - | 1,558.37 Bn |
| 2 | Bank Of America | 362.39 Bn | -2,013.68 Bn | - | 1,204.51 Bn |
| 3 | Hsbc Holdings | 300.13 Bn | -1,529.03 Bn | - | 1,022.11 Bn |
| 4 | Morgan Stanley | 290.76 Bn | 290.76 Bn | - | - |
| 5 | Royal Bank Of Canada | 286.28 Bn | -543.76 Bn | - | 791.32 Bn |
| 6 | Goldman Sachs | 273.64 Bn | 273.64 Bn | - | 276.00 Bn |
| 7 | Wells Fargo & Company | 251.74 Bn | 251.74 Bn | - | 1,034.29 Bn |
| 8 | Mitsubishi Ufj Financial | 244.81 Bn | -96.58 Bn | 10.89 Bn | - |
| 9 | Toronto Dominion Bank | 217.06 Bn | -458.81 Bn | - | 707.32 Bn |
| 10 | Lloyds Banking | 27.96 Bn | -493.56 Bn | - | 651.67 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 651.67 Bn |
| Dec 31, 2025 | 648.40 Bn |
| Jun 30, 2025 | 647.02 Bn |
| Dec 31, 2024 | 577.08 Bn |
| Sep 30, 2024 | 589.51 Bn |
| Jun 30, 2024 | 572.10 Bn |
| Mar 31, 2024 | 566.29 Mn |
| Dec 31, 2023 | 572.70 Bn |
| Sep 30, 2023 | 551.75 Mn |
| Jun 30, 2023 | 568.57 Bn |
| Mar 31, 2023 | 560.24 Mn |
| Dec 31, 2022 | 548.44 Bn |
| Sep 30, 2022 | 509.70 Mn |
| Jun 30, 2022 | 553.33 Bn |
| Mar 31, 2022 | 593.68 Bn |
| Dec 31, 2021 | 605.49 Bn |
| Sep 30, 2021 | 674.91 Bn |
| Jun 30, 2021 | 692.63 Bn |
| Mar 31, 2021 | 609.66 Bn |
| Dec 31, 2020 | 600.02 Bn |
API Access
Lloyds Banking Loans - 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=loans-net&ticker=LLOBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-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=loans-net&ticker=LLOBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();