Barclays Bank (ATMP) Goodwill (2013 - 2025)
Barclays Bank (ATMP) recorded Goodwill of $685.48 million in Q4 2025, up 1.3% from $676.4 million a year earlier.
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Analysis
Barclays Bank (ATMP) Goodwill (2013 - 2025) Analysis & Trends
Starting with Q2 2009, Barclays Bank's Goodwill history includes 18 quarters.
- Annual Goodwill has increased for three straight years, with a five-year compound annual growth rate of 14.5% (FY2020 to FY2025).
- Across earlier years, Goodwill came in at $676.4 million in FY2024 (+98.9%), $340 million in FY2023 (+1.8%), $333.96 million in FY2022 (-4.1%) and $348.26 million in FY2021 (-0.2%).
- The Q4 2025 figure is the highest quarterly Goodwill since Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 911.77 Bn | 911.77 Bn | - |
| 2 | Bank Of America | 360.24 Bn | -2,015.87 Bn | - |
| 3 | Hsbc Holdings | 311.40 Bn | -1,792.19 Bn | - |
| 4 | Morgan Stanley | 292.00 Bn | -252.03 Bn | - |
| 5 | Royal Bank Of Canada | 285.75 Bn | -544.30 Bn | - |
| 6 | Goldman Sachs | 266.89 Bn | -3,476.56 Bn | - |
| 7 | Wells Fargo & Company | 257.34 Bn | 257.34 Bn | - |
| 8 | Mitsubishi Ufj Financial | 245.83 Bn | -95.56 Bn | 10.89 Bn |
| 9 | American Express | 218.29 Bn | 17.77 Bn | - |
| 10 | Barclays Bank | 9.47 Bn | -1,324.42 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 685.48 Mn |
| Dec 31, 2024 | 676.40 Mn |
| Dec 31, 2023 | 340.00 Mn |
| Dec 31, 2022 | 333.96 Mn |
| Dec 31, 2021 | 348.26 Mn |
| Dec 31, 2020 | 348.94 Mn |
| Dec 31, 2019 | 386.83 Mn |
| Dec 31, 2018 | 423.97 Mn |
| Dec 31, 2017 | 436.83 Mn |
| Dec 31, 2016 | 4.81 Bn |
| Jun 30, 2016 | 5.28 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 |
API Access
Barclays Bank 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=ATMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "ticker": "ATMP", "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=ATMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();