Lloyds Banking (LLOBF) Other Non-Interest Expense (2009 - 2024)
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Analysis
Lloyds Banking (LLOBF) Other Non-Interest Expense (2009 - 2024) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Int. Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 905.78 Bn | 905.78 Bn | - | 2.04 Bn |
| 2 | Bank Of America | 347.81 Bn | -2,028.30 Bn | - | 3.50 Bn |
| 3 | Hsbc Holdings | 295.14 Bn | -1,808.06 Bn | - | 5.25 Bn |
| 4 | Morgan Stanley | 291.97 Bn | -217.12 Bn | - | 2.95 Bn |
| 5 | Royal Bank Of Canada | 286.46 Bn | -543.54 Bn | - | 672.02 Mn |
| 6 | Goldman Sachs | 261.91 Bn | -3,295.20 Bn | - | 4.32 Bn |
| 7 | Wells Fargo & Company | 257.86 Bn | 259.98 Bn | - | 2.69 Bn |
| 8 | Mitsubishi Ufj Financial | 254.56 Bn | -77.67 Bn | 10.89 Bn | 11.61 Bn |
| 9 | American Express | 220.10 Bn | 19.58 Bn | - | 10.21 Bn |
| 10 | Lloyds Banking | 27.96 Bn | -487.60 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 15.05 Bn |
| Dec 31, 2023 | 13.72 Bn |
| Mar 31, 2022 | 2.85 Bn |
| Dec 31, 2021 | 3.59 Bn |
| Sep 30, 2021 | 2.76 Bn |
| Mar 31, 2021 | 2.84 Bn |
| Dec 31, 2020 | 2.99 Bn |
| Sep 30, 2020 | 2.60 Bn |
| Jun 30, 2020 | 3.55 Bn |
| Mar 31, 2020 | 2.49 Bn |
| Dec 31, 2019 | 2.89 Bn |
| Sep 30, 2019 | 7.52 Bn |
| Jun 30, 2019 | 2.58 Bn |
| Mar 31, 2019 | 2.71 Bn |
| Dec 31, 2018 | 3.11 Bn |
| Sep 30, 2018 | 2.90 Bn |
| Jun 30, 2018 | 3.07 Bn |
| Mar 31, 2018 | 2.99 Bn |
| Dec 31, 2017 | 525.76 Mn |
| Sep 30, 2017 | 346.76 Mn |
API Access
Lloyds Banking Other Non-Interest Expense 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-non-interest-expense&ticker=LLOBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-interest-expense", "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-non-interest-expense&ticker=LLOBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();