Barclays (BCS) Goodwill (2009 - 2025)
Barclays' Goodwill came in at $5.95 billion for Q4 2025, up 6.5% from $5.58 billion a year earlier.
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Analysis
Barclays (BCS) Goodwill (2009 - 2025) Analysis & Trends
Going back to Q4 2009, Barclays' Goodwill data covers 18 quarters.
- Goodwill has increased in each of the last three years, with a five-year compound annual growth rate of 2.3% (FY2020 to FY2025).
- Going back by year, Goodwill was $5.58 billion in FY2024 (+5.0%), $5.32 billion in FY2023 (+12.8%), $4.72 billion in FY2022 (-10.2%) and $5.25 billion in FY2021 (-0.9%).
- 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 | 918.86 Bn | 918.86 Bn | - |
| 2 | Bank Of America | 355.02 Bn | -2,021.04 Bn | - |
| 3 | Hsbc Holdings | 299.60 Bn | -1,803.99 Bn | - |
| 4 | Morgan Stanley | 288.82 Bn | 288.82 Bn | - |
| 5 | Royal Bank Of Canada | 288.46 Bn | -541.58 Bn | - |
| 6 | Goldman Sachs | 269.80 Bn | 269.80 Bn | - |
| 7 | Wells Fargo & Company | 258.84 Bn | 258.84 Bn | - |
| 8 | Mitsubishi Ufj Financial | 244.75 Bn | -96.64 Bn | 10.89 Bn |
| 9 | American Express | 221.16 Bn | 20.64 Bn | - |
| 10 | Barclays | 79.79 Bn | -1,629.13 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 5.95 Bn |
| Dec 31, 2024 | 5.58 Bn |
| Dec 31, 2023 | 5.32 Bn |
| Dec 31, 2022 | 4.72 Bn |
| Jun 30, 2022 | 4.75 Bn |
| Dec 31, 2021 | 5.25 Bn |
| Jun 30, 2021 | 5.38 Bn |
| Dec 31, 2020 | 5.30 Bn |
| Dec 31, 2019 | 5.11 Bn |
| Dec 31, 2018 | 4.96 Bn |
| Dec 31, 2017 | 5.24 Bn |
| Dec 31, 2016 | 1.23 Bn |
| Dec 31, 2015 | 6.82 Bn |
| Jun 30, 2015 | 7.60 Bn |
| Dec 31, 2014 | 7.61 Bn |
| Jun 30, 2014 | 8.23 Bn |
| Dec 31, 2013 | 8.05 Bn |
| Dec 31, 2009 | 10.08 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();