Pra Group Inc (PRAA) Receivables (2009 - 2014)
Pra's Receivables was $12.46 million in Q2 2014, up 19.5% from $10.42 million a year earlier and up 7.9% from the prior quarter.
Analysis
Pra Group Inc (PRAA) Receivables (2009 - 2014) Analysis & Trends
At the end of FY2013, Receivables at Pra came in at $24.72 million, up 135.7% from FY2012.
- Receivables shows a four-year compound annual growth rate of 28.1% (FY2009 to FY2013).
- In earlier years, Receivables was $10.49 million in FY2012 (+33.4%), $7.86 million in FY2011 (-12.0%), $8.93 million in FY2010 (-2.6%) and $9.17 million in FY2009.
- Quarterly Receivables has moved between $6.46 million (Q3 2011) and $24.72 million (Q4 2013) over five years.
- Compared with a year earlier, Receivables has increased for ten straight quarters, with growth averaging 38.7% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was Q4 2013 (growth of 135.7%); the worst was Q2 2011 (a decline of 18.1%).
- Per Business Quant data, PRAA's Receivables in the three quarters before Q2 2014 was $11.55 million (Q1 2014), $24.72 million (Q4 2013) and $12.05 million (Q3 2013).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2014 | 12.46 Mn |
| Mar 31, 2014 | 11.55 Mn |
| Dec 31, 2013 | 24.72 Mn |
| Sep 30, 2013 | 12.05 Mn |
| Jun 30, 2013 | 10.42 Mn |
| Mar 31, 2013 | 9.23 Mn |
| Dec 31, 2012 | 10.49 Mn |
| Sep 30, 2012 | 8.42 Mn |
| Jun 30, 2012 | 8.58 Mn |
| Mar 31, 2012 | 9.11 Mn |
| Dec 31, 2011 | 7.86 Mn |
| Sep 30, 2011 | 6.46 Mn |
| Jun 30, 2011 | 6.68 Mn |
| Mar 31, 2011 | 7.37 Mn |
| Dec 31, 2010 | 8.93 Mn |
| Sep 30, 2010 | 7.79 Mn |
| Jun 30, 2010 | 8.16 Mn |
| Dec 31, 2009 | 9.17 Mn |
API Access
Pra Group Inc Receivables 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=receivables&ticker=PRAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "PRAA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=receivables&ticker=PRAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();