Idexx Laboratories (IDXX) Change in Accured Expenses (2009 - 2015)
Idexx Laboratories (IDXX) recorded Change in Accured Expenses of $3.09 million in Q3 2015, down 84.2% from $19.56 million a year earlier.
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Analysis
Idexx Laboratories (IDXX) Change in Accured Expenses (2009 - 2015) Analysis & Trends
On a TTM basis, Idexx Laboratories' Change in Accured Expenses came in at -$4.33 million as of Sep 30, 2015; for FY2014, it came in at $36.39 million, up 120.4% from FY2013.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of 120.1% (FY2009 to FY2014).
- Across earlier years, Change in Accured Expenses came in at $16.51 million in FY2013, $187,000 in FY2012 (-98.9%), $16.92 million in FY2011 (-44.7%) and $30.6 million in FY2010.
- Quarterly Change in Accured Expenses has ranged from -$26.23 million in Q1 2015 to $21.84 million in Q3 2011 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in four of the last five quarters, with growth averaging 75.4%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 327.8% in Q4 2013, against a decline of 98.2% in Q4 2011 at the low end.
- Per Business Quant, the preceding three quarters came in at -$1.36 million (Q2 2015), -$26.23 million (Q1 2015) and $20.18 million (Q4 2014).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.58 Bn | 1,078.16 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 630.16 Bn | 548.69 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 488.57 Bn | 461.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 359.15 Bn | 313.58 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 274.32 Bn | 238.71 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 246.73 Bn | 220.50 Bn | 12.86 Bn | - |
| 7 | Amgen | 224.28 Bn | 179.68 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 187.60 Bn | 161.71 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 161.13 Bn | 108.08 Bn | 10.94 Bn | - |
| 10 | Idexx Laboratories | 40.86 Bn | 40.07 Bn | 779.09 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2015 | 3.09 Mn |
| Jun 30, 2015 | -1.36 Mn |
| Mar 31, 2015 | -26.23 Mn |
| Dec 31, 2014 | 20.18 Mn |
| Sep 30, 2014 | 19.56 Mn |
| Jun 30, 2014 | 6.89 Mn |
| Mar 31, 2014 | -10.23 Mn |
| Dec 31, 2013 | 16.85 Mn |
| Sep 30, 2013 | 9.50 Mn |
| Jun 30, 2013 | 6.38 Mn |
| Mar 31, 2013 | -16.22 Mn |
| Dec 31, 2012 | 3.94 Mn |
| Sep 30, 2012 | 9.07 Mn |
| Jun 30, 2012 | 1.88 Mn |
| Mar 31, 2012 | -14.70 Mn |
| Dec 31, 2011 | 251,000.00 |
| Sep 30, 2011 | 21.84 Mn |
| Jun 30, 2011 | 11.33 Mn |
| Mar 31, 2011 | -16.50 Mn |
| Dec 31, 2010 | 14.16 Mn |
API Access
Idexx Laboratories 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=IDXX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "IDXX", "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=IDXX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();