Lloyds Banking (LLOBF) Operating Expenses (2009 - 2026)
Lloyds Banking (LLOBF) posted Operating Expenses of -$3.83 billion for the quarter ended Jun 30, 2026, compared with -$3.43 billion a year earlier.
Lloyds Banking (LLOBF) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Lloyds Banking was -$9.2 billion; for the year ended Dec 31, 2025, it was -$16.03 billion.
- In prior years, Lloyds Banking's Operating Expenses was -$14.83 billion in the year ended Dec 31, 2024, -$13.46 billion in the year ended Dec 31, 2023, -$11.43 billion in the year ended Dec 31, 2022 and $14.86 billion in the year ended Dec 31, 2021.
- Quarterly Operating Expenses has run from a low of -$14.89 billion in the quarter ended Dec 31, 2024 to a high of $3.23 billion in the quarter ended Dec 31, 2025 over five years.
- According to Business Quant data, Operating Expenses for the three prior quarters was -$3.86 billion (quarter ended Mar 31, 2026), $3.23 billion (quarter ended Dec 31, 2025) and -$4.74 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bank Of America | 354.69 Bn | -2,021.38 Bn | - | 18.63 Bn |
| 2 | Hsbc Holdings | 313.17 Bn | -1,515.98 Bn | - | 16.82 Bn |
| 3 | Royal Bank Of Canada | 283.77 Bn | -546.23 Bn | - | 7.02 Bn |
| 4 | Mitsubishi Ufj Financial | 250.29 Bn | -81.95 Bn | 10.89 Bn | 17.50 Bn |
| 5 | Toronto Dominion Bank | 211.68 Bn | -464.20 Bn | - | 6.08 Bn |
| 6 | Banco Santander | 181.85 Bn | -492.66 Bn | 10.41 Bn | 7.44 Bn |
| 7 | UBS Group AG | 155.28 Bn | -774.57 Bn | - | - |
| 8 | Bank Of Montreal | 120.87 Bn | -657.48 Bn | - | 4.79 Bn |
| 9 | Canadian Imperial Bank Of Commerce | 107.05 Bn | 66.34 Bn | - | 3.36 Bn |
| 10 | Lloyds Banking | 27.96 Bn | -493.56 Bn | - | 3.83 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.83 Bn |
| Mar 31, 2026 | 3.86 Bn |
| Dec 31, 2025 | 4.01 Bn |
| Sep 30, 2025 | 4.74 Bn |
| Jun 30, 2025 | 3.43 Bn |
| Mar 31, 2025 | 3.61 Bn |
| Dec 31, 2024 | 14.89 Bn |
| Sep 30, 2024 | 10.90 Bn |
| Jun 30, 2024 | 3.47 Bn |
| Mar 31, 2024 | 3.43 Bn |
| Dec 31, 2023 | 13.43 Bn |
| Sep 30, 2023 | 9.45 Bn |
| Jun 30, 2023 | 3.09 Bn |
| Mar 31, 2023 | 2.80 Bn |
| Dec 31, 2022 | 3.05 Bn |
| Sep 30, 2022 | 2.62 Bn |
| Jun 30, 2022 | 2.92 Bn |
| Mar 31, 2022 | 2.82 Bn |
| Dec 31, 2021 | 3.03 Bn |
| Sep 30, 2021 | 2.58 Bn |
Lloyds Banking Operating 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=operating-expenses&ticker=LLOBF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=LLOBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();