Barclays (BCS) Non Operating Interest Expenses (2022 - 2023)
Barclays (BCS) posted Non Operating Interest Expenses of -$11.6 billion for Q2 2023, down 191468.76% on a QoQ basis from -$6.1 million in Q1 2023, and down 291.58% year-over-year from $6.1 billion in Q2 2022.
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Analysis
Barclays (BCS) Non Operating Interest Expenses (2022 - 2023) Analysis & Trends
Barclays has reported Non Operating Interest Expenses for 2 years, with the latest figure at -$11.6 billion in Q2 2023.
- On a quarterly basis, Non Operating Interest Expenses fell 291.58% year-over-year to -$11.6 billion in Q2 2023; TTM through Jun 2023 was -$14.6 billion, a N/A change from a year earlier, with the FY2025 full-year figure at -$28.8 billion, up 11.47% from the prior year.
- Non Operating Interest Expenses was -$11.6 billion for Q2 2023 at Barclays, down from -$6.1 million in the prior quarter.
- The five-year high for Non Operating Interest Expenses was -$6.1 million in Q1 2023, with the low at -$11.6 billion in Q2 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 659.57 Bn | 643.59 Bn | 5.90 Bn | - |
| 2 | Hsbc Holdings | 354.33 Bn | 354.38 Bn | - | - |
| 3 | General Electric | 331.23 Bn | 322.11 Bn | 6.95 Bn | 215.00 Mn |
| 4 | Astrazeneca | 260.48 Bn | 255.27 Bn | 12.86 Bn | -435.00 Mn |
| 5 | Citigroup | 226.55 Bn | -2,073.32 Bn | 24.75 Bn | - |
| 6 | Bhp | 218.78 Bn | 200.24 Bn | - | - |
| 7 | Diageo | 211.16 Bn | 211.21 Bn | - | - |
| 8 | Rio Tinto | 188.09 Bn | 183.71 Bn | - | - |
| 9 | Ferrari | 154.46 Bn | 152.71 Bn | 1.18 Bn | 24.66 Mn |
| 10 | Barclays | 87.74 Bn | 88.35 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | -11.64 Bn |
| Mar 31, 2023 | -6.08 Mn |
| Jun 30, 2022 | -2.97 Bn |
| Mar 31, 2022 | -13.42 Mn |
API Access
Barclays Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=BCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();