Barclays Bank (ATMP) Pension (2009 - 2026)
Barclays Bank (ATMP) posted Pension of $205.3 million for Q2 2026, down 1.7% on a QoQ basis from $208.8 million in Q4 2025, and down 3.83% year-over-year from $213.4 million in Q2 2025.
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Analysis
Barclays Bank (ATMP) Pension (2009 - 2026) Analysis & Trends
Barclays Bank has reported Pension for 18 years, with the latest figure at $205.3 million in Q2 2026.
- On a quarterly basis, Pension fell 3.83% year-over-year to $205.3 million in Q2 2026; TTM through Jun 2026 was $205.3 million, a 3.83% decrease from a year earlier, with the FY2025 full-year figure at $208.8 million, down 0.79% from the prior year.
- Pension was $205.3 million for Q2 2026 at Barclays Bank, down from $208.8 million in the prior quarter.
- The five-year high for Pension was $297.2 million in Q2 2022, with the low at $205.3 million in Q2 2026.
- Average Pension over 5 years is $222.4 million, with a median of $213.4 million recorded in 2025.
- The sharpest annual moves came in 2022 and 2025: Pension slumped 34.92% in 2022, then rose 1.26% in 2025.
- Over 5 years, Pension stood at $215.8 million in 2022, then retreated by 0.51% to $214.7 million in 2023, then declined by 1.97% to $210.5 million in 2024, then retreated by 0.79% to $208.8 million in 2025, then decreased by 1.7% to $205.3 million in 2026.
- The last three Pension figures came in at $205.3 million (Q2 2026), $208.8 million (Q4 2025), and $213.4 million (Q2 2025), per Business Quant data.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 205.28 Mn |
| Dec 31, 2025 | 208.84 Mn |
| Jun 30, 2025 | 213.45 Mn |
| Dec 31, 2024 | 210.49 Mn |
| Jun 30, 2024 | 210.79 Mn |
| Dec 31, 2023 | 214.72 Mn |
| Jun 30, 2023 | 225.25 Mn |
| Dec 31, 2022 | 215.82 Mn |
| Jun 30, 2022 | 297.20 Mn |
| Dec 31, 2021 | 331.61 Mn |
| Jun 30, 2021 | 384.38 Mn |
| Dec 31, 2020 | 306.34 Mn |
| Jun 30, 2020 | 396.10 Mn |
| Dec 31, 2019 | 402.43 Mn |
| Jun 30, 2019 | 369.17 Mn |
| Dec 31, 2018 | 364.16 Mn |
| Jun 30, 2018 | 197.54 Mn |
| Dec 31, 2017 | 381.04 Mn |
| Jun 30, 2017 | 420.40 Mn |
| Dec 31, 2016 | 484.86 Mn |
API Access
Barclays Bank Pension 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=pension&ticker=ATMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=ATMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();