Lloyds Banking (LLOBF) Amortization - Intangibles (2010 - 2024)
Lloyds Banking (LLOBF) recorded Amortization - Intangibles of -$103.96 million in the quarter ended Dec 31, 2024, compared with -$99.29 million a year earlier.
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Analysis
Lloyds Banking (LLOBF) Amortization - Intangibles (2010 - 2024) Analysis & Trends
On a TTM basis, Lloyds Banking's Amortization - Intangibles came in at -$256.45 million as of Dec 31, 2024.
- The figure for the quarter ended Dec 31, 2024 is the lowest quarterly Amortization - Intangibles since the quarter ended Dec 31, 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 903.97 Bn | 903.97 Bn | - |
| 2 | Bank Of America | 356.92 Bn | -2,019.15 Bn | - |
| 3 | Hsbc Holdings | 296.96 Bn | -1,806.64 Bn | - |
| 4 | Morgan Stanley | 285.10 Bn | 285.10 Bn | - |
| 5 | Royal Bank Of Canada | 284.66 Bn | -545.38 Bn | - |
| 6 | Goldman Sachs | 266.61 Bn | 266.61 Bn | - |
| 7 | Wells Fargo & Company | 250.94 Bn | 250.94 Bn | - |
| 8 | Mitsubishi Ufj Financial | 245.01 Bn | -96.38 Bn | 10.89 Bn |
| 9 | Toronto Dominion Bank | 214.22 Bn | -461.66 Bn | - |
| 10 | Lloyds Banking | 27.96 Bn | -487.60 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -103.96 Mn |
| Dec 31, 2023 | -99.29 Mn |
| Sep 30, 2017 | -34.02 Mn |
| Jun 30, 2017 | -19.17 Mn |
| Mar 31, 2017 | -28.49 Mn |
| Dec 31, 2016 | -105.67 Mn |
| Sep 30, 2016 | -114.37 Mn |
| Jun 30, 2016 | -120.64 Mn |
| Mar 31, 2016 | -120.40 Mn |
| Dec 31, 2012 | -774.03 Mn |
| Sep 30, 2012 | -189.50 Mn |
| Dec 31, 2011 | -883.22 Mn |
| Sep 30, 2011 | -223.85 Mn |
| Mar 31, 2011 | -230.60 Mn |
| Dec 31, 2010 | -238.56 Mn |
| Mar 31, 2010 | -252.85 Mn |
API Access
Lloyds Banking Amortization - Intangibles 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=amortization-intangibles&ticker=LLOBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=LLOBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();