Barclays (BCS) Cash & Equivalents (2009 - 2026)
Barclays (BCS) reported Cash & Equivalents of $335.17 billion for Q3 2026, up 5.1% from $319.02 billion a year earlier and up 2.9% from the prior quarter.
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Analysis
Barclays (BCS) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Barclays posted Cash & Equivalents of $309.41 billion, up 17.3% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $263.76 billion in FY2024 (-7.8%), $286.05 billion in FY2023 (-14.9%), $336.12 billion in FY2022 (-3.9%) and $349.89 billion in FY2021 (+22.2%).
- The Q3 2026 figure ranks as the highest quarterly Cash & Equivalents since Q4 2022.
- Year over year, Cash & Equivalents has now increased in each of the last six quarters, with growth averaging 3.6% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q4 2021 (growth of 22.2%); the low point was Q4 2023 (a decline of 14.9%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $325.86 billion (Q2 2026), $310.02 billion (Q1 2026) and $309.41 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 905.78 Bn | 905.78 Bn | - | - |
| 2 | Bank Of America | 347.81 Bn | -2,028.30 Bn | - | 249.64 Bn |
| 3 | Hsbc Holdings | 295.14 Bn | -1,808.06 Bn | - | 222.46 Bn |
| 4 | Morgan Stanley | 291.97 Bn | -217.12 Bn | - | 160.14 Bn |
| 5 | Royal Bank Of Canada | 286.46 Bn | -543.54 Bn | - | 45.78 Bn |
| 6 | Goldman Sachs | 261.91 Bn | -3,295.20 Bn | - | 187.27 Bn |
| 7 | Wells Fargo & Company | 257.86 Bn | 259.98 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 254.56 Bn | -77.67 Bn | 10.89 Bn | - |
| 9 | American Express | 220.10 Bn | 19.58 Bn | - | 43.20 Bn |
| 10 | Barclays | 78.45 Bn | -1,629.86 Bn | - | 335.17 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 335.17 Bn |
| Jun 30, 2026 | 325.86 Bn |
| Mar 31, 2026 | 310.02 Bn |
| Dec 31, 2025 | 309.41 Bn |
| Sep 30, 2025 | 319.02 Bn |
| Jun 30, 2025 | 309.68 Bn |
| Mar 31, 2025 | 309.85 Bn |
| Dec 31, 2024 | 263.76 Bn |
| Sep 30, 2024 | 287.82 Bn |
| Jun 30, 2024 | 307.87 Bn |
| Mar 31, 2024 | 317.26 Bn |
| Dec 31, 2023 | 286.05 Bn |
| Sep 30, 2023 | 320.74 Bn |
| Jun 30, 2023 | 318.94 Bn |
| Mar 31, 2023 | 329.35 Bn |
| Dec 31, 2022 | 336.12 Bn |
| Sep 30, 2022 | 287.13 Bn |
| Jun 30, 2022 | 343.49 Bn |
| Mar 31, 2022 | 348.07 Bn |
| Dec 31, 2021 | 349.89 Bn |
API Access
Barclays Cash & Equivalents 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=cash-and-equivalents&ticker=BCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();