Lloyds Banking (LLOBF) Retained Earnings (2009 - 2026)
Lloyds Banking (LLOBF) posted Retained Earnings of $8.37 billion for the quarter ended Jun 30, 2026, up 11.6% from $7.5 billion a year earlier.
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Analysis
Lloyds Banking (LLOBF) Retained Earnings (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Lloyds Banking's Retained Earnings came in at $8.43 billion, up 11.5% from the prior year.
- Annual Retained Earnings shows a five-year compound annual growth rate of 7.4% (years ended Dec 2020 to Dec 2025).
- In prior years, Lloyds Banking's Retained Earnings was $7.56 billion in the year ended Dec 31, 2024 (-10.5%), $8.45 billion in the year ended Dec 31, 2023 (+4.2%), $8.11 billion in the year ended Dec 31, 2022 (-29.2%) and $11.44 billion in the year ended Dec 31, 2021 (+94.4%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Retained Earnings since the quarter ended Mar 31, 2024.
- On a year-over-year basis, Retained Earnings increased in three of the last four quarters, with growth averaging 4.9%.
- The strongest year-over-year quarter for Retained Earnings in the past five years was the quarter ended Dec 31, 2021, with growth of 85.2%; the weakest was the quarter ended Jun 30, 2023, with a decline of 40.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 903.97 Bn | 903.97 Bn | - | 455.59 Bn |
| 2 | Bank Of America | 362.78 Bn | -2,013.28 Bn | - | 274.52 Bn |
| 3 | Hsbc Holdings | 298.35 Bn | -1,530.81 Bn | - | 167.59 Bn |
| 4 | Morgan Stanley | 289.11 Bn | 289.11 Bn | - | - |
| 5 | Royal Bank Of Canada | 285.63 Bn | -544.41 Bn | - | 73.85 Bn |
| 6 | Goldman Sachs | 273.19 Bn | 273.19 Bn | - | - |
| 7 | Wells Fargo & Company | 251.43 Bn | 251.43 Bn | - | 241.40 Bn |
| 8 | Mitsubishi Ufj Financial | 244.81 Bn | -96.58 Bn | 10.89 Bn | 101.18 Bn |
| 9 | Toronto Dominion Bank | 216.66 Bn | -459.22 Bn | - | 56.30 Bn |
| 10 | Lloyds Banking | 27.96 Bn | -493.56 Bn | - | 8.27 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.27 Bn |
| Dec 31, 2025 | 8.47 Bn |
| Jun 30, 2025 | 7.72 Bn |
| Dec 31, 2024 | 7.42 Bn |
| Sep 30, 2024 | 39.70 Bn |
| Jun 30, 2024 | 6.97 Bn |
| Mar 31, 2024 | 9.15 Bn |
| Dec 31, 2023 | 8.65 Bn |
| Sep 30, 2023 | 7.50 Bn |
| Jun 30, 2023 | 7.67 Bn |
| Mar 31, 2023 | 10.22 Bn |
| Dec 31, 2022 | 7.90 Bn |
| Jun 30, 2022 | 12.37 Bn |
| Dec 31, 2021 | 11.23 Bn |
| Jun 30, 2021 | 11.18 Bn |
| Dec 31, 2020 | 6.25 Bn |
| Jun 30, 2020 | 4.67 Bn |
| Dec 31, 2019 | 4.26 Bn |
| Jun 30, 2019 | 6.05 Bn |
| Dec 31, 2018 | 6.84 Bn |
API Access
Lloyds Banking Retained Earnings 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=retained-earnings&ticker=LLOBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=LLOBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();