Lloyds Banking (LLOBF) Acquisitions (2010 - 2022)
Lloyds Banking's Acquisitions was $117.9 million in the year ended Dec 31, 2025, compared with -$228.81 million a year earlier.
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Analysis
Lloyds Banking (LLOBF) Acquisitions (2010 - 2022) Analysis & Trends
From the year ended Dec 31, 2009 onward, Lloyds Banking has reported Acquisitions for 17 years.
- The figure for the year ended Dec 31, 2025 marks the highest annual Acquisitions since the year ended Dec 31, 2009.
- Per Business Quant data, Acquisitions in earlier years was -$228.81 million in the year ended Dec 31, 2024, -$472.65 million in the year ended Dec 31, 2023, -$506.18 million in the year ended Dec 31, 2022 and -$78.43 million in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Bank Of America | 354.69 Bn | -2,021.38 Bn | - | - |
| 2 | Hsbc Holdings | 313.17 Bn | -1,515.98 Bn | - | - |
| 3 | Royal Bank Of Canada | 283.77 Bn | -546.23 Bn | - | - |
| 4 | Mitsubishi Ufj Financial | 250.29 Bn | -81.95 Bn | 10.89 Bn | - |
| 5 | Toronto Dominion Bank | 211.68 Bn | -464.20 Bn | - | - |
| 6 | Banco Santander | 181.85 Bn | -492.66 Bn | 10.41 Bn | - |
| 7 | UBS Group AG | 155.28 Bn | -774.57 Bn | - | - |
| 8 | Bank Of Montreal | 120.87 Bn | -657.48 Bn | - | - |
| 9 | Canadian Imperial Bank Of Commerce | 107.05 Bn | 66.34 Bn | - | - |
| 10 | Lloyds Banking | 27.96 Bn | -493.56 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | -479.73 Mn |
| Dec 31, 2021 | -76.84 Mn |
| Dec 31, 2020 | -3.96 Mn |
| Dec 31, 2019 | -27.00 Mn |
| Dec 31, 2018 | -63.05 Mn |
| Dec 31, 2015 | -7.59 Mn |
| Dec 31, 2014 | -1.58 Mn |
| Dec 31, 2013 | -9.71 Mn |
| Dec 31, 2012 | -17.66 Mn |
| Dec 31, 2011 | -20.43 Mn |
| Dec 31, 2010 | -115.33 Mn |
API Access
Lloyds Banking Acquisitions 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=acquisitions&ticker=LLOBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=LLOBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();