Barclays (BCS) Payables (2012 - 2025)
Barclays (BCS) posted Payables of $4.9 billion for Q4 2025, up 3.64% on a QoQ basis from $4.7 billion in Q4 2024, and up 3.64% year-over-year from $4.7 billion in Q4 2024.
Barclays (BCS) Payables (2012 - 2025) Analysis & Trends
Barclays has reported Payables for 9 years, with the latest figure at $4.9 billion in Q4 2025.
- On a quarterly basis, Payables rose 3.64% year-over-year to $4.9 billion in Q4 2025; TTM through Dec 2025 was $4.9 billion, a 3.64% increase from a year earlier, with the FY2025 full-year figure at $4.9 billion, up 3.64% from the prior year.
- Payables was $4.9 billion for Q4 2025 at Barclays, up from $4.7 billion in the prior quarter.
- The five-year high for Payables was $4.9 billion in Q4 2025, with the low at $4.7 billion in Q4 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 659.57 Bn | 643.59 Bn | 5.90 Bn | 4.10 Bn |
| 2 | Hsbc Holdings | 354.33 Bn | 354.38 Bn | - | 43.70 Bn |
| 3 | General Electric | 331.23 Bn | 322.11 Bn | 6.95 Bn | 10.82 Bn |
| 4 | Astrazeneca | 260.48 Bn | 255.27 Bn | 12.86 Bn | -22.89 Bn |
| 5 | Citigroup | 226.55 Bn | -2,073.32 Bn | 24.75 Bn | 1,561.59 Bn |
| 6 | Bhp | 218.78 Bn | 200.24 Bn | - | -14.00 Mn |
| 7 | Diageo | 211.16 Bn | 211.21 Bn | - | -6.43 Bn |
| 8 | Rio Tinto | 188.09 Bn | 183.71 Bn | - | 220.00 Mn |
| 9 | Ferrari | 154.46 Bn | 152.71 Bn | 1.18 Bn | 1.15 Bn |
| 10 | Barclays | 87.74 Bn | 88.35 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.85 Bn |
| Dec 31, 2024 | 4.68 Bn |
| Dec 31, 2019 | -282.40 Bn |
| Dec 31, 2018 | -306.69 Bn |
| Mar 31, 2017 | 351.80 Mn |
| Dec 31, 2016 | 333.18 Mn |
| Jun 30, 2015 | 296.94 Mn |
| Dec 31, 2014 | 495.92 Mn |
| Jun 30, 2014 | -549.38 Bn |
| Dec 31, 2012 | 677.68 Mn |
Barclays Payables 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=payables&ticker=BCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();