Barclays (BCS) Retained Earnings (2009 - 2026)
Barclays (BCS) recorded Retained Earnings of $81.04 billion in Q2 2026, up 5.2% from $77.04 billion a year earlier and up 2.2% from the prior quarter.
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Analysis
Barclays (BCS) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Barclays reported Retained Earnings of $78.13 billion, up 9.1% from FY2024.
- Annual Retained Earnings has increased for three straight years, with a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- Across earlier years, Retained Earnings came in at $71.62 billion in FY2024 (+7.2%), $66.84 billion in FY2023 (+2.2%), $65.38 billion in FY2022 (-5.9%) and $69.46 billion in FY2021 (+18.8%).
- The Q2 2026 figure is the highest quarterly Retained Earnings in data going back to Q4 2009.
- On a year-over-year basis, Retained Earnings has increased for 13 consecutive quarters, with growth averaging 7.7% over the last eight quarters.
- Peak year-over-year performance for Retained Earnings in the last five years was growth of 14.7% in Q3 2021, against a decline of 9.1% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $79.33 billion (Q1 2026), $78.82 billion (Q4 2025) and $78.77 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 902.19 Bn | 902.19 Bn | - | 445.02 Bn |
| 2 | Bank Of America | 385.63 Bn | -1,990.44 Bn | - | 274.52 Bn |
| 3 | Hsbc Holdings | 330.47 Bn | -1,498.69 Bn | - | 167.59 Bn |
| 4 | Morgan Stanley | 292.87 Bn | -216.23 Bn | - | 122.77 Bn |
| 5 | Royal Bank Of Canada | 274.66 Bn | -555.39 Bn | - | 73.85 Bn |
| 6 | Goldman Sachs | 270.16 Bn | -3,286.96 Bn | - | 174.35 Bn |
| 7 | Mitsubishi Ufj Financial | 255.81 Bn | -39.14 Bn | 10.89 Bn | 101.18 Bn |
| 8 | Wells Fargo & Company | 249.53 Bn | 249.53 Bn | - | 237.23 Bn |
| 9 | American Express | 209.56 Bn | 1.39 Bn | - | 26.38 Bn |
| 10 | Barclays | 81.39 Bn | -1,605.74 Bn | - | 80.06 Bn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();