Barclays (BCS) Pension (2009 - 2026)
Barclays (BCS) posted Pension of $356.9 million for Q2 2026, up 1.25% on a QoQ basis from $352.5 million in Q4 2025, and up 9.64% year-over-year from $325.5 million in Q2 2025.
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Analysis
Barclays (BCS) Pension (2009 - 2026) Analysis & Trends
Barclays has reported Pension for 18 years, with the latest figure at $356.9 million in Q2 2026.
- On a quarterly basis, Pension rose 9.64% year-over-year to $356.9 million in Q2 2026; TTM through Jun 2026 was $356.9 million, a 9.64% increase from a year earlier, with the FY2025 full-year figure at $352.5 million, up 14.43% from the prior year.
- Pension was $356.9 million for Q2 2026 at Barclays, up from $352.5 million in the prior quarter.
- The five-year high for Pension was $389.1 million in Q2 2022, with the low at $308.0 million in Q4 2024.
- Average Pension over 5 years is $338.7 million, with a median of $330.1 million recorded in 2023.
- The sharpest annual moves came in 2022 and 2025: Pension dropped 26.14% in 2022, then advanced 14.43% in 2025.
- Over 5 years, Pension stood at $309.7 million in 2022, then grew by 6.62% to $330.1 million in 2023, then retreated by 6.7% to $308.0 million in 2024, then grew by 14.43% to $352.5 million in 2025, then gained by 1.25% to $356.9 million in 2026.
- The last three Pension figures came in at $356.9 million (Q2 2026), $352.5 million (Q4 2025), and $325.5 million (Q2 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Asml Holding | 659.57 Bn | 643.59 Bn | 5.90 Bn |
| 2 | Hsbc Holdings | 354.33 Bn | 354.38 Bn | - |
| 3 | General Electric | 331.23 Bn | 322.11 Bn | 6.95 Bn |
| 4 | Astrazeneca | 260.48 Bn | 255.27 Bn | 12.86 Bn |
| 5 | Citigroup | 226.55 Bn | -2,073.32 Bn | 24.75 Bn |
| 6 | Bhp | 218.78 Bn | 200.24 Bn | - |
| 7 | Diageo | 211.16 Bn | 211.21 Bn | - |
| 8 | Rio Tinto | 188.09 Bn | 183.71 Bn | - |
| 9 | Ferrari | 154.46 Bn | 152.71 Bn | 1.18 Bn |
| 10 | Barclays | 87.74 Bn | 88.35 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 356.89 Mn |
| Dec 31, 2025 | 352.49 Mn |
| Jun 30, 2025 | 325.51 Mn |
| Dec 31, 2024 | 308.04 Mn |
| Jun 30, 2024 | 349.64 Mn |
| Dec 31, 2023 | 330.15 Mn |
| Jun 30, 2023 | 326.61 Mn |
| Dec 31, 2022 | 309.65 Mn |
| Jun 30, 2022 | 389.13 Mn |
| Dec 31, 2021 | 419.23 Mn |
| Jun 30, 2021 | 472.43 Mn |
| Dec 31, 2020 | 384.25 Mn |
| Jun 30, 2020 | 460.67 Mn |
| Dec 31, 2019 | 447.43 Mn |
| Jun 30, 2019 | 415.48 Mn |
| Dec 31, 2018 | 405.33 Mn |
| Jun 30, 2018 | 396.45 Mn |
| Dec 31, 2017 | 414.23 Mn |
| Dec 31, 2016 | 484.86 Mn |
| Dec 31, 2015 | 641.90 Mn |
API Access
Barclays 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=BCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();