Barclays (BCS) Other non-cash items (2021 - 2026)
Barclays' Other non-cash items was -$27.28 billion in Q3 2026.
Analysis
Barclays (BCS) Other non-cash items (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Barclays' Other non-cash items was -$630.18 million through Sep 30, 2026; for FY2025, it was $9.16 billion, up 148.5% from FY2024.
- In earlier years, Other non-cash items was $3.69 billion in FY2024 (-73.6%), $13.94 billion in FY2023, -$14.32 billion in FY2022 and $4.9 billion in FY2021.
- The Q3 2026 figure marks the highest quarterly Other non-cash items in data going back to Q1 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.86 Bn | 918.86 Bn | - |
| 2 | Bank Of America | 355.02 Bn | -2,021.04 Bn | - |
| 3 | Hsbc Holdings | 299.60 Bn | -1,803.99 Bn | - |
| 4 | Morgan Stanley | 288.82 Bn | 288.82 Bn | - |
| 5 | Royal Bank Of Canada | 288.46 Bn | -541.58 Bn | - |
| 6 | Goldman Sachs | 269.80 Bn | 269.80 Bn | - |
| 7 | Wells Fargo & Company | 258.84 Bn | 258.84 Bn | - |
| 8 | Mitsubishi Ufj Financial | 244.75 Bn | -96.64 Bn | 10.89 Bn |
| 9 | American Express | 221.16 Bn | 20.64 Bn | - |
| 10 | Barclays | 79.79 Bn | -1,629.13 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -27.28 Bn |
| Jun 30, 2025 | 7.58 Bn |
| Mar 31, 2025 | 11.34 Mn |
| Jun 30, 2024 | 19.06 Bn |
| Mar 31, 2024 | -22.83 Mn |
| Jun 30, 2023 | 15.83 Bn |
| Mar 31, 2023 | -14.59 Mn |
| Dec 31, 2021 | 4.83 Bn |
| Sep 30, 2021 | -1.99 Bn |
| Jun 30, 2021 | 2.02 Bn |
| Mar 31, 2021 | -33.09 Mn |
API Access
Barclays Other non-cash items 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=other-non-cash-items&ticker=BCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-cash-items", "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=other-non-cash-items&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();