Pnc Financial Services (PNC) Other Accumulated Expenses (2010 - 2016)
Pnc Financial Services (PNC) reported Other Accumulated Expenses of $29 million for Q4 2016, unchanged from $29 million a year earlier.
Analysis
Pnc Financial Services (PNC) Other Accumulated Expenses (2010 - 2016) Analysis & Trends
Dating back to Q4 2010, Pnc Financial Services' Other Accumulated Expenses record includes 7 quarters.
- By year, Other Accumulated Expenses came in at $29 million in FY2015 (-48.2%), $56 million in FY2014 (-1.8%), $57 million in FY2013 (-10.9%) and $64 million in FY2012.
- Five-year quarterly Other Accumulated Expenses spans a low of $29 million in Q4 2015 and a high of $64 million in Q4 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - |
| 10 | Pnc Financial Services | 88.19 Bn | 88.25 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 29.00 Mn |
| Dec 31, 2015 | 29.00 Mn |
| Dec 31, 2014 | 56.00 Mn |
| Dec 31, 2013 | 57.00 Mn |
| Dec 31, 2012 | 64.00 Mn |
| Dec 31, 2011 | -64.00 Mn |
| Dec 31, 2010 | -68.00 Mn |
API Access
Pnc Financial Services 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=PNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "PNC", "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=PNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();