Barclays Bank (ATMP) Operating Leases (2009 - 2025)
Barclays Bank (ATMP) posted Operating Leases of $1570.7 billion for Q4 2025, up 7.81% on a QoQ basis from $1456.9 billion in Q4 2024, and up 7.81% year-over-year from $1456.9 billion in Q4 2024.
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Analysis
Barclays Bank (ATMP) Operating Leases (2009 - 2025) Analysis & Trends
Barclays Bank has reported Operating Leases for 10 years, with the latest figure at $1570.7 billion in Q4 2025.
- On a quarterly basis, Operating Leases rose 7.81% year-over-year to $1570.7 billion in Q4 2025; TTM through Dec 2025 was $1570.7 billion, a 7.81% increase from a year earlier, with the FY2025 full-year figure at $1570.7 billion, up 7.81% from the prior year.
- Operating Leases was $1570.7 billion for Q4 2025 at Barclays Bank, up from $1456.9 billion in the prior quarter.
- The five-year high for Operating Leases was $1570.7 billion in Q4 2025, with the low at $1284.9 billion in Q4 2022.
- Average Operating Leases over 5 years is $1430.0 billion, with a median of $1438.5 billion recorded in 2021.
- The sharpest annual moves came in 2021 and 2022: Operating Leases climbed 10.85% in 2021, then decreased 5.81% in 2022.
- Over 5 years, Operating Leases stood at $1364.2 billion in 2021, then declined by 5.81% to $1284.9 billion in 2022, then grew by 10.17% to $1415.5 billion in 2023, then climbed by 2.92% to $1456.9 billion in 2024, then increased by 7.81% to $1570.7 billion in 2025.
- The last three Operating Leases figures came in at $1570.7 billion (Q4 2025), $1456.9 billion (Q4 2024), and $1415.5 billion (Q4 2023), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bank Of America | 394.48 Bn | -194.01 Bn | 30.39 Bn |
| 2 | Hsbc Holdings | 348.97 Bn | 349.02 Bn | - |
| 3 | Morgan Stanley | 314.73 Bn | 154.60 Bn | - |
| 4 | Royal Bank Of Canada | 285.58 Bn | 58.73 Bn | - |
| 5 | Goldman Sachs | 276.87 Bn | -699.48 Bn | - |
| 6 | Mitsubishi Ufj Financial | 274.03 Bn | -110.29 Bn | 10.89 Bn |
| 7 | Wells Fargo & Company | 251.82 Bn | 49.99 Bn | - |
| 8 | Banco Santander | 212.85 Bn | 220.46 Bn | 28.01 Bn |
| 9 | Toronto Dominion Bank | 207.22 Bn | 45.89 Bn | - |
| 10 | Barclays Bank | 40.38 Bn | 40.38 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1,570.67 Bn |
| Dec 31, 2024 | 1,456.92 Bn |
| Dec 31, 2023 | 1,415.55 Bn |
| Dec 31, 2022 | 1,284.88 Bn |
| Jun 30, 2022 | 1,479.14 Bn |
| Dec 31, 2021 | 1,364.16 Bn |
| Jun 30, 2021 | 1,438.47 Bn |
| Dec 31, 2020 | 1,360.60 Bn |
| Jun 30, 2020 | 1,297.67 Bn |
| Dec 31, 2019 | 680.15 Mn |
| Dec 31, 2018 | 732.17 Mn |
| Dec 31, 2017 | 1,412.12 Bn |
| Dec 31, 2009 | 66.97 Mn |
API Access
Barclays Bank Operating Leases 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-leases&ticker=ATMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "ATMP", "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-leases&ticker=ATMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();