Barclays (BCS) Interest Expenses (2022 - 2023)
Barclays (BCS) posted 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) Interest Expenses (2022 - 2023) Analysis & Trends
Barclays has reported Interest Expenses for 2 years, with the latest figure at -$11.6 billion in Q2 2023.
- On a quarterly basis, 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.
- 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 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) | Int Expense (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 | 20.54 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 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=interest-expenses&ticker=BCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();