Barclays (BCS) Total Debt (2009 - 2026)
Barclays' Total Debt came in at $302.1 billion for Q3 2026.
Analysis
Barclays (BCS) Total Debt (2009 - 2026) Analysis & Trends
At the end of FY2025, Barclays' Total Debt was $161.75 billion, up 11.0% from FY2024.
- Total Debt carries a five-year compound annual growth rate of -38.1% (FY2020 to FY2025).
- Going back by year, Total Debt was $145.77 billion in FY2024, $1.79 trillion in FY2022 (-0.5%) and $1.8 trillion in FY2021 (+1.6%).
- The Q3 2026 figure represents the highest quarterly Total Debt since Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 905.78 Bn | 905.78 Bn | - | 532.95 Bn |
| 2 | Bank Of America | 347.81 Bn | -2,028.30 Bn | - | 380.92 Bn |
| 3 | Hsbc Holdings | 295.14 Bn | -1,808.06 Bn | - | - |
| 4 | Morgan Stanley | 291.97 Bn | -217.12 Bn | - | 392.56 Bn |
| 5 | Royal Bank Of Canada | 286.46 Bn | -543.54 Bn | - | 9.69 Bn |
| 6 | Goldman Sachs | 261.91 Bn | -3,295.20 Bn | - | 437.87 Bn |
| 7 | Wells Fargo & Company | 257.86 Bn | 259.98 Bn | - | 221.04 Bn |
| 8 | Mitsubishi Ufj Financial | 254.56 Bn | -77.67 Bn | 10.89 Bn | 112.96 Bn |
| 9 | American Express | 220.10 Bn | 19.58 Bn | - | 59.95 Bn |
| 10 | Barclays | 78.45 Bn | -1,629.86 Bn | - | 302.10 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 302.10 Bn |
| Dec 31, 2025 | 161.75 Bn |
| Mar 31, 2025 | 143.00 Bn |
| Dec 31, 2024 | 145.77 Bn |
| Sep 30, 2024 | 134.83 Bn |
| Jun 30, 2024 | 137.29 Bn |
| Mar 31, 2024 | 149.99 Bn |
| Sep 30, 2023 | 139.15 Bn |
| Jun 30, 2023 | 146.38 Bn |
| Mar 31, 2023 | 156.97 Bn |
| Dec 31, 2022 | 1,793.18 Bn |
| Sep 30, 2022 | 147.48 Bn |
| Mar 31, 2022 | 160.67 Bn |
| Dec 31, 2021 | 1,802.68 Bn |
| Sep 30, 2021 | 145.98 Bn |
| Dec 31, 2020 | 1,774.10 Bn |
| Dec 31, 2019 | 1,436.43 Bn |
| Dec 31, 2018 | 280.53 Mn |
| Dec 31, 2017 | 4.09 Bn |
| Dec 31, 2015 | 1.69 Bn |
API Access
Barclays Total Debt 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=total-debt&ticker=BCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();