Barclays (BCS) Restructuring Costs (2013 - 2022)
Barclays (BCS) posted Restructuring Costs of -$584.1 million for Q4 2022, down 30.09% on a QoQ basis from -$449.0 million in Q3 2022, and down 1497.8% year-over-year from $41.8 million in Q4 2021.
Powered by 
Analysis
Barclays (BCS) Restructuring Costs (2013 - 2022) Analysis & Trends
Barclays has reported Restructuring Costs for 7 years, with the latest figure at -$584.1 million in Q4 2022.
- On a quarterly basis, Restructuring Costs fell 1497.8% year-over-year to -$584.1 million in Q4 2022; TTM through Dec 2022 was -$1.2 billion, a 226.49% decrease from a year earlier, with the FY2023 full-year figure at -$2.3 billion, down 54.95% from the prior year.
- Restructuring Costs was -$584.1 million for Q4 2022 at Barclays, down from -$449.0 million in the prior quarter.
- The five-year high for Restructuring Costs was $1.1 billion in Q2 2021, with the low at -$2.7 billion in Q1 2020.
- Average Restructuring Costs over 5 years is -$69.7 million, with a median of -$17.0 million recorded in 2021.
- The sharpest annual moves came in 2021 and 2022: Restructuring Costs surged 155.28% in 2021, then slumped 1497.8% in 2022.
- Over 5 years, Restructuring Costs stood at $842.8 million in 2018, then tumbled by 179.78% to -$672.4 million in 2019, then rose by 3.39% to -$649.7 million in 2020, then jumped by 106.43% to $41.8 million in 2021, then plunged by 1497.8% to -$584.1 million in 2022.
- The last three Restructuring Costs figures came in at -$584.1 million (Q4 2022), -$449.0 million (Q3 2022), and $41.8 million (Q4 2021), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 4 | Astrazeneca | 260.48 Bn | 255.27 Bn | 12.86 Bn |
| 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 |
| 10 | Barclays | 87.74 Bn | 88.35 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | -584.12 Mn |
| Sep 30, 2022 | -449.03 Mn |
| Dec 31, 2021 | 41.79 Mn |
| Sep 30, 2021 | -165.43 Mn |
| Jun 30, 2021 | 1.11 Bn |
| Mar 31, 2021 | -75.84 Mn |
| Dec 31, 2020 | -649.66 Mn |
| Sep 30, 2020 | -784.63 Mn |
| Jun 30, 2020 | -2.02 Bn |
| Mar 31, 2020 | -2.71 Bn |
| Dec 31, 2019 | -672.43 Mn |
| Sep 30, 2019 | 763.38 Mn |
| Jun 30, 2019 | 848.97 Mn |
| Mar 31, 2019 | 738.16 Mn |
| Dec 31, 2018 | 842.83 Mn |
| Sep 30, 2018 | 799.02 Mn |
| Jun 30, 2018 | 794.25 Mn |
| Mar 31, 2018 | 909.74 Mn |
| Dec 31, 2017 | 898.83 Mn |
| Dec 31, 2013 | 832.20 Mn |
API Access
Barclays Restructuring Costs 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=restructuring-costs&ticker=BCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();