Univest Financial (UVSP) Change in Accured Expenses (2011 - 2012)
Univest Financial (UVSP) recorded Change in Accured Expenses of -$2.22 million in Q4 2012, compared with -$2.96 million a year earlier.
Analysis
Univest Financial (UVSP) Change in Accured Expenses (2011 - 2012) Analysis & Trends
For FY2012, Univest Financial reported Change in Accured Expenses of -$2.18 million.
- Across earlier years, Change in Accured Expenses came in at -$2.85 million in FY2011, $1.97 million in FY2010 and -$2.94 million in FY2009.
- Quarterly Change in Accured Expenses has ranged from -$11.92 million in Q1 2011 to $12.65 million in Q2 2011 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$1.52 million (Q3 2012), -$1.63 million (Q2 2012) and $3.19 million (Q1 2012).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 22.64 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 27.13 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 | - | 14.35 Bn |
| 10 | Univest Financial | 1.15 Bn | -644.80 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2012 | -2.22 Mn |
| Sep 30, 2012 | -1.52 Mn |
| Jun 30, 2012 | -1.63 Mn |
| Mar 31, 2012 | 3.19 Mn |
| Dec 31, 2011 | -2.96 Mn |
| Sep 30, 2011 | -620,000.00 |
| Jun 30, 2011 | 12.65 Mn |
| Mar 31, 2011 | -11.92 Mn |
API Access
Univest Financial Change in Accured 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=change-in-accured-expenses&ticker=UVSP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "UVSP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=UVSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();