Barclays (BCS) Goodwill (2009 - 2025)
Barclays' Goodwill came in at $5.87 billion for Q4 2025, up 2.8% from $5.71 billion a year earlier.
Powered by 
Analysis
Barclays (BCS) Goodwill (2009 - 2025) Analysis & Trends
At the end of FY2025, Barclays' Goodwill was $5.82 billion, up 2.3% from FY2024.
- Goodwill has increased in each of the last three years, with a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- Going back by year, Goodwill was $5.69 billion in FY2024 (+9.5%), $5.2 billion in FY2023 (+7.3%), $4.84 billion in FY2022 (-9.6%) and $5.36 billion in FY2021 (+7.2%).
- The Q4 2025 figure represents the highest quarterly Goodwill since Q4 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 902.19 Bn | 902.19 Bn | - |
| 2 | Bank Of America | 385.63 Bn | -1,990.44 Bn | - |
| 3 | Hsbc Holdings | 330.47 Bn | -1,498.69 Bn | - |
| 4 | Morgan Stanley | 292.87 Bn | -216.23 Bn | - |
| 5 | Royal Bank Of Canada | 274.66 Bn | -555.39 Bn | - |
| 6 | Goldman Sachs | 270.16 Bn | -3,286.96 Bn | - |
| 7 | Mitsubishi Ufj Financial | 255.81 Bn | -39.14 Bn | 10.89 Bn |
| 8 | Wells Fargo & Company | 249.53 Bn | 249.53 Bn | - |
| 9 | American Express | 209.56 Bn | 1.39 Bn | - |
| 10 | Barclays | 81.39 Bn | -1,605.74 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 5.87 Bn |
| Dec 31, 2024 | 5.71 Bn |
| Dec 31, 2023 | 5.18 Bn |
| Dec 31, 2022 | 4.59 Bn |
| Jun 30, 2022 | 4.93 Bn |
| Dec 31, 2021 | 5.25 Bn |
| Jun 30, 2021 | 5.43 Bn |
| Dec 31, 2020 | 5.14 Bn |
| Dec 31, 2019 | 5.01 Bn |
| Dec 31, 2018 | 5.03 Bn |
| Dec 31, 2017 | 5.18 Bn |
| Dec 31, 2016 | 1.24 Bn |
| Dec 31, 2015 | 6.99 Bn |
| Jun 30, 2015 | 7.40 Bn |
| Dec 31, 2014 | 7.74 Bn |
| Jun 30, 2014 | 8.13 Bn |
| Dec 31, 2013 | 7.90 Bn |
| Dec 31, 2009 | 10.18 Bn |
API Access
Barclays Goodwill 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=goodwill&ticker=BCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "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=goodwill&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();