Lloyds Banking (LLOBF) Other Accumulated Expenses (2009 - 2024)
Lloyds Banking's Other Accumulated Expenses came in at $3.76 million for the quarter ended Dec 31, 2024, down 1.5% from $3.82 million a year earlier.
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Analysis
Lloyds Banking (LLOBF) Other Accumulated Expenses (2009 - 2024) Analysis & Trends
Going back to the quarter ended Jun 30, 2009, Lloyds Banking's Other Accumulated Expenses data covers 31 quarters.
- Other Accumulated Expenses has declined in each of the last three years, with a five-year compound annual growth rate of -75.6% (years ended Dec 2019 to Dec 2024).
- Going back by year, Other Accumulated Expenses was $3.82 million in the year ended Dec 31, 2023 (-99.8%), $2.18 billion in the year ended Dec 31, 2022 (-22.8%), $2.82 billion in the year ended Dec 31, 2021 (+8.2%) and $2.61 billion in the year ended Dec 31, 2020 (-40.1%).
- The figure for the quarter ended Dec 31, 2024 represents the lowest quarterly Other Accumulated Expenses in data going back to the quarter ended Jun 30, 2009.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in the quarter ended Dec 31, 2021 (growth of 8.2%), and the weakest in the quarter ended Dec 31, 2023 (a decline of 99.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 3.76 Mn |
| Dec 31, 2023 | 3.82 Mn |
| Jun 30, 2023 | 2.05 Bn |
| Dec 31, 2022 | 2.18 Bn |
| Jun 30, 2022 | 2.37 Bn |
| Dec 31, 2021 | 2.82 Bn |
| Jun 30, 2021 | 2.43 Bn |
| Dec 31, 2020 | 2.61 Bn |
| Jun 30, 2020 | 3.03 Bn |
| Dec 31, 2019 | 4.36 Bn |
| Jun 30, 2019 | 3.62 Bn |
| Dec 31, 2018 | 4.50 Bn |
| Jun 30, 2018 | 7.57 Bn |
| Dec 31, 2017 | 7.78 Bn |
| Jun 30, 2017 | 8.20 Bn |
| Dec 31, 2016 | 6.41 Bn |
| Jun 30, 2016 | 5.85 Bn |
| Dec 31, 2015 | 8.43 Bn |
| Jun 30, 2015 | 6.99 Bn |
| Dec 31, 2014 | 6.54 Bn |
API Access
Lloyds Banking Other Accumulated Expenses 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=other-accumulated-expenses&ticker=LLOBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=LLOBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();