Barclays (BCS) Receivables - Net (2016 - 2025)
Barclays (BCS) posted Receivables - Net of -$58.0 billion for Q4 2025, down 8.16% on a QoQ basis from -$53.6 billion in Q4 2024, and down 8.16% year-over-year from -$63.1 billion in Q4 2024.
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Analysis
Barclays (BCS) Receivables - Net (2016 - 2025) Analysis & Trends
Barclays has reported Receivables - Net for 6 years, with the latest figure at -$58.0 billion in Q4 2025.
- On a quarterly basis, Receivables - Net fell 8.16% year-over-year to -$58.0 billion in Q4 2025; TTM through Dec 2025 was -$58.0 billion, a 8.16% decrease from a year earlier, with the FY2025 full-year figure at -$58.0 billion, down 8.16% from the prior year.
- Receivables - Net was -$58.0 billion for Q4 2025 at Barclays, down from -$53.6 billion in the prior quarter.
- The five-year high for Receivables - Net was -$53.6 billion in Q4 2024, with the low at -$58.0 billion in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Asml Holding | 659.57 Bn | 643.59 Bn | 5.90 Bn |
| 2 | Hsbc Holdings | 354.33 Bn | 354.38 Bn | - |
| 3 | General Electric | 331.23 Bn | 322.11 Bn | 6.95 Bn |
| 4 | Astrazeneca | 260.48 Bn | 255.27 Bn | 12.86 Bn |
| 5 | Citigroup | 226.55 Bn | -2,073.32 Bn | 24.75 Bn |
| 6 | Bhp | 218.78 Bn | 200.24 Bn | - |
| 7 | Diageo | 211.16 Bn | 211.21 Bn | - |
| 8 | Rio Tinto | 188.09 Bn | 183.71 Bn | - |
| 9 | Ferrari | 154.46 Bn | 152.71 Bn | 1.18 Bn |
| 10 | Barclays | 87.74 Bn | 88.35 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -57.98 Bn |
| Dec 31, 2024 | -53.61 Bn |
| Dec 31, 2019 | -73.29 Mn |
| Dec 31, 2018 | 420.01 Bn |
| Dec 31, 2017 | 430.23 Bn |
| Dec 31, 2016 | 430.03 Bn |
API Access
Barclays Receivables - Net 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-net&ticker=BCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "ticker": "BCS", "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-net&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();