Barclays (BCS) Retained Earnings (2009 - 2026)
Barclays (BCS) posted Retained Earnings of $81.0 billion for Q2 2026, up 2.15% on a QoQ basis from $79.3 billion in Q1 2026, and up 5.2% year-over-year from $77.0 billion in Q2 2025.
Barclays (BCS) Retained Earnings (2009 - 2026) Analysis & Trends
Barclays has reported Retained Earnings for 17 years, with the latest figure at $81.0 billion in Q2 2026.
- On a quarterly basis, Retained Earnings rose 5.2% year-over-year to $81.0 billion in Q2 2026; TTM through Jun 2026 was $81.0 billion, a 5.2% increase from a year earlier, with the FY2025 full-year figure at $78.8 billion, up 9.6% from the prior year.
- Retained Earnings was $81.0 billion for Q2 2026 at Barclays, up from $79.3 billion in the prior quarter.
- The five-year high for Retained Earnings was $81.0 billion in Q2 2026, with the low at $61.7 billion in Q3 2022.
- Average Retained Earnings over 5 years is $71.1 billion, with a median of $70.0 billion recorded in 2024.
- The sharpest annual moves came in 2022 and 2023: Retained Earnings slipped 9.1% in 2022, then increased 11.58% in 2023.
- Over 5 years, Retained Earnings stood at $62.0 billion in 2022, then increased by 7.63% to $66.7 billion in 2023, then climbed by 7.83% to $71.9 billion in 2024, then grew by 9.6% to $78.8 billion in 2025, then gained by 2.82% to $81.0 billion in 2026.
- The last three Retained Earnings figures came in at $81.0 billion (Q2 2026), $79.3 billion (Q1 2026), and $78.8 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 659.57 Bn | 643.59 Bn | 5.90 Bn | 20.47 Bn |
| 2 | Hsbc Holdings | 354.33 Bn | 354.38 Bn | - | 21.39 Bn |
| 3 | General Electric | 331.23 Bn | 322.11 Bn | 6.95 Bn | 90.95 Bn |
| 4 | Astrazeneca | 260.48 Bn | 255.27 Bn | 12.86 Bn | 12.59 Bn |
| 5 | Citigroup | 226.55 Bn | -2,073.32 Bn | 24.75 Bn | 223.99 Bn |
| 6 | Bhp | 218.78 Bn | 200.24 Bn | - | 62.00 Mn |
| 7 | Diageo | 211.16 Bn | 211.21 Bn | - | 8.29 Bn |
| 8 | Rio Tinto | 188.09 Bn | 183.71 Bn | - | 49.29 Bn |
| 9 | Ferrari | 154.46 Bn | 152.71 Bn | 1.18 Bn | - |
| 10 | Barclays | 87.74 Bn | 88.35 Bn | - | 81.04 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 81.04 Bn |
| Mar 31, 2026 | 79.33 Bn |
| Dec 31, 2025 | 78.82 Bn |
| Sep 30, 2025 | 78.77 Bn |
| Jun 30, 2025 | 77.04 Bn |
| Mar 31, 2025 | 72.32 Bn |
| Dec 31, 2024 | 71.91 Bn |
| Sep 30, 2024 | 72.12 Bn |
| Jun 30, 2024 | 69.22 Bn |
| Mar 31, 2024 | 69.60 Bn |
| Dec 31, 2023 | 66.69 Bn |
| Sep 30, 2023 | 68.81 Bn |
| Jun 30, 2023 | 67.63 Bn |
| Mar 31, 2023 | 65.11 Bn |
| Dec 31, 2022 | 61.96 Bn |
| Sep 30, 2022 | 61.67 Bn |
| Jun 30, 2022 | 66.72 Bn |
| Mar 31, 2022 | 70.42 Bn |
| Dec 31, 2021 | 68.06 Bn |
| Sep 30, 2021 | 67.85 Bn |
Barclays Retained Earnings 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=retained-earnings&ticker=BCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();