Barclays (BCS) Cash & Equivalents (2009 - 2026)
Barclays (BCS) posted Cash & Equivalents of $329.9 billion for Q2 2026, up 3.96% on a QoQ basis from $317.3 billion in Q1 2026, and up 9.54% year-over-year from $301.1 billion in Q2 2025.
Barclays (BCS) Cash & Equivalents (2009 - 2026) Analysis & Trends
Barclays has reported Cash & Equivalents for 18 years, with the latest figure at $329.9 billion in Q2 2026.
- On a quarterly basis, Cash & Equivalents rose 9.54% year-over-year to $329.9 billion in Q2 2026; TTM through Jun 2026 was $329.9 billion, a 9.54% increase from a year earlier, with the FY2025 full-year figure at $305.6 billion, up 13.28% from the prior year.
- Cash & Equivalents was $329.9 billion for Q2 2026 at Barclays, up from $317.3 billion in the prior quarter.
- The five-year high for Cash & Equivalents was $356.6 billion in Q2 2022, with the low at $269.8 billion in Q4 2024.
- Average Cash & Equivalents over 5 years is $313.6 billion, with a median of $316.8 billion recorded in 2023.
- The sharpest annual moves came in 2022 and 2024: Cash & Equivalents climbed 23.04% in 2022, then fell 16.06% in 2024.
- Over 5 years, Cash & Equivalents stood at $327.0 billion in 2022, then fell by 14.74% to $278.8 billion in 2023, then retreated by 3.24% to $269.8 billion in 2024, then increased by 13.28% to $305.6 billion in 2025, then advanced by 7.94% to $329.9 billion in 2026.
- The last three Cash & Equivalents figures came in at $329.9 billion (Q2 2026), $317.3 billion (Q1 2026), and $305.6 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 659.57 Bn | 643.59 Bn | 5.90 Bn | 15.51 Bn |
| 2 | Hsbc Holdings | 354.33 Bn | 354.38 Bn | - | 29.08 Bn |
| 3 | General Electric | 331.23 Bn | 322.11 Bn | 6.95 Bn | 9.35 Bn |
| 4 | Astrazeneca | 260.48 Bn | 255.27 Bn | 12.86 Bn | 4.89 Bn |
| 5 | Citigroup | 226.55 Bn | -2,073.32 Bn | 24.75 Bn | - |
| 6 | Bhp | 218.78 Bn | 200.24 Bn | - | 18.53 Bn |
| 7 | Diageo | 211.16 Bn | 211.21 Bn | - | 1.52 Bn |
| 8 | Rio Tinto | 188.09 Bn | 183.71 Bn | - | 8.91 Bn |
| 9 | Ferrari | 154.46 Bn | 152.71 Bn | 1.18 Bn | 1.73 Bn |
| 10 | Barclays | 87.74 Bn | 88.35 Bn | - | 329.86 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 329.86 Bn |
| Mar 31, 2026 | 317.29 Bn |
| Dec 31, 2025 | 305.61 Bn |
| Sep 30, 2025 | 320.35 Bn |
| Jun 30, 2025 | 301.12 Bn |
| Mar 31, 2025 | 301.63 Bn |
| Dec 31, 2024 | 269.77 Bn |
| Sep 30, 2024 | 279.43 Bn |
| Jun 30, 2024 | 307.30 Bn |
| Mar 31, 2024 | 318.74 Bn |
| Dec 31, 2023 | 278.80 Bn |
| Sep 30, 2023 | 332.88 Bn |
| Jun 30, 2023 | 316.38 Bn |
| Mar 31, 2023 | 323.17 Bn |
| Dec 31, 2022 | 327.00 Bn |
| Sep 30, 2022 | 302.97 Bn |
| Jun 30, 2022 | 356.56 Bn |
| Mar 31, 2022 | 355.47 Bn |
| Dec 31, 2021 | 349.41 Bn |
| Sep 30, 2021 | 313.82 Bn |
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_KEY
import 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();