Barclays Bank (ATMP) Receivables (2009 - 2025)
Barclays Bank (ATMP) posted Receivables of -$56.3 billion for Q4 2025, down 8.48% on a QoQ basis from -$51.9 billion in Q4 2024, and down 8.48% year-over-year from -$61.5 billion in Q4 2024.
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Analysis
Barclays Bank (ATMP) Receivables (2009 - 2025) Analysis & Trends
Barclays Bank has reported Receivables for 5 years, with the latest figure at -$56.3 billion in Q4 2025.
- On a quarterly basis, Receivables fell 8.48% year-over-year to -$56.3 billion in Q4 2025; TTM through Dec 2025 was -$56.3 billion, a 8.48% decrease from a year earlier, with the FY2025 full-year figure at -$56.3 billion, down 8.48% from the prior year.
- Receivables was -$56.3 billion for Q4 2025 at Barclays Bank, down from -$51.9 billion in the prior quarter.
- The five-year high for Receivables was -$51.9 billion in Q4 2024, with the low at -$56.3 billion in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (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 | - | 154.35 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 | - | 27.33 Bn |
| 8 | Banco Santander | 212.85 Bn | 220.46 Bn | 28.01 Bn | 14.96 Bn |
| 9 | Toronto Dominion Bank | 207.22 Bn | 45.89 Bn | - | 5.83 Bn |
| 10 | Barclays Bank | 40.38 Bn | 40.38 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -56.25 Bn |
| Dec 31, 2024 | -51.85 Bn |
| Dec 31, 2020 | -11.88 Mn |
| Dec 31, 2019 | -73.29 Mn |
| Dec 31, 2009 | 141.67 Bn |
API Access
Barclays Bank Receivables 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=receivables&ticker=ATMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=ATMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();