Lloyds Banking (LLOBF) Deposits - Total (2015 - 2026)
Analysis
Lloyds Banking (LLOBF) Deposits - Total (2015 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Deposits - Total (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 904.00 Bn | 904.00 Bn | - | 2,780.79 Bn |
| 2 | Bank Of America | 361.89 Bn | -2,014.18 Bn | - | 2,025.12 Bn |
| 3 | Hsbc Holdings | 298.59 Bn | -1,530.56 Bn | - | 1,827.70 Bn |
| 4 | Morgan Stanley | 290.83 Bn | 290.83 Bn | - | 478.38 Bn |
| 5 | Royal Bank Of Canada | 285.62 Bn | -544.42 Bn | - | 1,173.76 Bn |
| 6 | Goldman Sachs | 273.88 Bn | 273.88 Bn | - | 568.00 Bn |
| 7 | Wells Fargo & Company | 251.42 Bn | 251.42 Bn | - | 1,502.65 Bn |
| 8 | Mitsubishi Ufj Financial | 244.86 Bn | -96.53 Bn | 10.89 Bn | 1,463.27 Bn |
| 9 | Toronto Dominion Bank | 216.67 Bn | -459.21 Bn | - | - |
| 10 | Lloyds Banking | 27.96 Bn | -493.56 Bn | - | 663.84 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 663.84 Bn |
| Dec 31, 2025 | 668.59 Bn |
| Jun 30, 2025 | 677.66 Bn |
| Dec 31, 2024 | 605.80 Bn |
| Jun 30, 2024 | 600.28 Bn |
| Dec 31, 2023 | 600.28 Bn |
| Jun 30, 2023 | 592.65 Bn |
| Dec 31, 2022 | 573.07 Bn |
| Jun 30, 2022 | 580.16 Bn |
| Dec 31, 2021 | 642.99 Bn |
| Jun 30, 2021 | 667.70 Bn |
| Dec 31, 2020 | 614.27 Bn |
| Jun 30, 2020 | 558.22 Bn |
| Dec 31, 2019 | 552.48 Bn |
| Jun 30, 2019 | 534.60 Bn |
| Dec 31, 2018 | 530.68 Bn |
| Jun 30, 2018 | 551.26 Bn |
| Dec 31, 2017 | 561.99 Bn |
| Dec 31, 2016 | 510.52 Bn |
| Dec 31, 2015 | 619.93 Bn |
API Access
Lloyds Banking Deposits - Total 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=deposits-total&ticker=LLOBF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "deposits-total", "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=deposits-total&ticker=LLOBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();