Barclays (BCS) Other Accumulated Expenses (2013 - 2018)
Barclays (BCS) posted Other Accumulated Expenses of -$95.2 million for Q4 2018, down 30.45% on a QoQ basis from -$73.0 million in Q3 2018, and down 7272.05% year-over-year from $1.3 million in Q4 2017.
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Analysis
Barclays (BCS) Other Accumulated Expenses (2013 - 2018) Analysis & Trends
Barclays has reported Other Accumulated Expenses for 5 years, with the latest figure at -$95.2 million in Q4 2018.
- On a quarterly basis, Other Accumulated Expenses fell 7272.05% year-over-year to -$95.2 million in Q4 2018; TTM through Dec 2018 was -$95.2 million, a 7272.05% decrease from a year earlier, with the FY2018 full-year figure at -$95.2 million, down 7491.57% from the prior year.
- Other Accumulated Expenses was -$95.2 million for Q4 2018 at Barclays, down from -$73.0 million in the prior quarter.
- The five-year high for Other Accumulated Expenses was $40.4 million in Q2 2014, with the low at -$9.9 billion in Q4 2014.
- Average Other Accumulated Expenses over 4 years is -$3.0 billion, with a median of -$73.0 million recorded in 2018.
- The sharpest annual moves came in 2014 and 2015: Other Accumulated Expenses tumbled 2480914.85% in 2014, then gained 12.97% in 2015.
- Over 4 years, Other Accumulated Expenses stood at -$9.9 billion in 2014, then gained by 9.13% to -$9.0 billion in 2015, then surged by 100.01% to $1.3 million in 2017, then tumbled by 7272.05% to -$95.2 million in 2018.
- The last three Other Accumulated Expenses figures came in at -$95.2 million (Q4 2018), -$73.0 million (Q3 2018), and -$59.9 million (Q2 2018), 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, 2018 | -95.22 Mn |
| Sep 30, 2018 | -72.99 Mn |
| Jun 30, 2018 | -59.94 Mn |
| Mar 31, 2018 | 4.17 Mn |
| Dec 31, 2017 | 1.33 Mn |
| Dec 31, 2015 | -8.96 Bn |
| Sep 30, 2015 | -6.69 Bn |
| Dec 31, 2014 | -9.86 Bn |
| Sep 30, 2014 | -7.69 Bn |
| Jun 30, 2014 | 40.38 Mn |
| Mar 31, 2014 | -3.31 Mn |
| Dec 31, 2013 | -4.86 Mn |
| Sep 30, 2013 | -309,997.03 |
API Access
Barclays Other Accumulated 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=other-accumulated-expenses&ticker=BCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();