Barclays Bank (ATMP) Goodwill & Intangibles (2009 - 2026)
Barclays Bank (ATMP) posted Goodwill & Intangibles of $2.2 billion for Q2 2026, up 29.58% on a QoQ basis from $1.7 billion in Q4 2025, and up 38.91% year-over-year from $1.6 billion in Q2 2025.
Barclays Bank (ATMP) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
Barclays Bank has reported Goodwill & Intangibles for 18 years, with the latest figure at $2.2 billion in Q2 2026.
- On a quarterly basis, Goodwill & Intangibles rose 38.91% year-over-year to $2.2 billion in Q2 2026; TTM through Jun 2026 was $2.2 billion, a 38.91% increase from a year earlier, with the FY2025 full-year figure at $1.7 billion, down 5.24% from the prior year.
- Goodwill & Intangibles was $2.2 billion for Q2 2026 at Barclays Bank, up from $1.7 billion in the prior quarter.
- The five-year high for Goodwill & Intangibles was $10.8 billion in Q1 2022, with the low at $129.1 million in Q4 2023.
- Average Goodwill & Intangibles over 5 years is $2.6 billion, with a median of $1.9 billion recorded in 2023.
- The sharpest annual moves came in 2023 and 2024: Goodwill & Intangibles slumped 93.39% in 2023, then soared 1316.95% in 2024.
- Over 5 years, Goodwill & Intangibles stood at $2.0 billion in 2022, then slumped by 93.39% to $129.1 million in 2023, then jumped by 1316.95% to $1.8 billion in 2024, then declined by 5.24% to $1.7 billion in 2025, then grew by 29.58% to $2.2 billion in 2026.
- The last three Goodwill & Intangibles figures came in at $2.2 billion (Q2 2026), $1.7 billion (Q4 2025), and $1.6 billion (Q2 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bank Of America | 394.48 Bn | -194.01 Bn | 30.39 Bn |
| 2 | Hsbc Holdings | 348.97 Bn | 349.02 Bn | - |
| 3 | Morgan Stanley | 314.73 Bn | 154.60 Bn | - |
| 4 | Royal Bank Of Canada | 285.58 Bn | 58.73 Bn | - |
| 5 | Goldman Sachs | 276.87 Bn | -699.48 Bn | - |
| 6 | Mitsubishi Ufj Financial | 274.03 Bn | -110.29 Bn | 10.89 Bn |
| 7 | Wells Fargo & Company | 251.82 Bn | 49.99 Bn | - |
| 8 | Banco Santander | 212.85 Bn | 220.46 Bn | 28.01 Bn |
| 9 | Toronto Dominion Bank | 207.22 Bn | 45.89 Bn | - |
| 10 | Barclays Bank | 40.38 Bn | 40.38 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.25 Bn |
| Dec 31, 2025 | 1.73 Bn |
| Jun 30, 2025 | 1.62 Bn |
| Dec 31, 2024 | 1.83 Bn |
| Jun 30, 2024 | 1.31 Bn |
| Dec 31, 2023 | 129.08 Mn |
| Jun 30, 2023 | 1.92 Bn |
| Dec 31, 2022 | 1.95 Bn |
| Jun 30, 2022 | 2.09 Bn |
| Mar 31, 2022 | 10.80 Bn |
| Dec 31, 2021 | 1.95 Bn |
| Jun 30, 2021 | 2.03 Bn |
| Dec 31, 2020 | 1.52 Bn |
| Jun 30, 2020 | 1.55 Bn |
| Dec 31, 2019 | 1.56 Bn |
| Jun 30, 2019 | 1.65 Bn |
| Dec 31, 2018 | 1.71 Bn |
| Jun 30, 2018 | 1.81 Bn |
| Dec 31, 2017 | 6.49 Bn |
| Sep 30, 2017 | 10.15 Bn |
Barclays Bank Goodwill & Intangibles 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-and-intangibles&ticker=ATMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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-and-intangibles&ticker=ATMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();