Rush Enterprises Inc \Tx\ (RUSHA) Asset Writedowns and Impairment (2016 - 2017)
Rush Enterprises Inc \Tx\ (RUSHA) recorded Asset Writedowns and Impairment of $469,000 in Q2 2017, down 9.5% from $518,000 a year earlier.
Rush Enterprises Inc \Tx\ (RUSHA) Asset Writedowns and Impairment (2016 - 2017) Analysis & Trends
On a TTM basis, Rush Enterprises Inc \Tx\'s Asset Writedowns and Impairment came in at $998,000 as of Jun 30, 2017; for FY2016, it was $8.25 million.
- Annual Asset Writedowns and Impairment has a five-year compound annual growth rate of 52.5% (FY2011 to FY2016).
- Across earlier years, Asset Writedowns and Impairment came in at $427,000 in FY2014.
- Quarterly Asset Writedowns and Impairment has ranged from $11,000 in Q3 2016 to $7.72 million in Q1 2016 over the past five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | United Rentals | 64.18 Bn | 62.94 Bn | 1.73 Bn |
| 2 | W.W. Grainger | 62.30 Bn | 59.90 Bn | 1.98 Bn |
| 3 | Fastenal | 58.56 Bn | 57.48 Bn | 1.06 Bn |
| 4 | Ferguson Enterprises | 44.07 Bn | 41.28 Bn | 2.32 Bn |
| 5 | Sunbelt Rentals Holdings | 31.19 Bn | 31.07 Bn | 1.25 Bn |
| 6 | Reliance | 21.34 Bn | 20.38 Bn | 1.30 Bn |
| 7 | Wesco International | 16.69 Bn | 14.00 Bn | 1.46 Bn |
| 8 | Applied Industrial Technologies | 12.48 Bn | 12.35 Bn | 411.22 Mn |
| 9 | Watsco | 11.24 Bn | 8.93 Bn | 578.93 Mn |
| 10 | Rush Enterprises Inc \Tx\ | 5.27 Bn | 4.31 Bn | 361.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2017 | 469,000.00 |
| Sep 30, 2016 | 11,000.00 |
| Jun 30, 2016 | 518,000.00 |
| Mar 31, 2016 | 7.72 Mn |
Rush Enterprises Inc \Tx\ Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=RUSHA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "RUSHA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=asset-writedowns-and-impairment&ticker=RUSHA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();