Interparfums (IPAR) Goodwill (2010 - 2013)
Interparfums (IPAR) recorded Goodwill of $973,000 in Q3 2013, down 64.8% from $2.76 million a year earlier but up 2.7% from the prior quarter.
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Analysis
Interparfums (IPAR) Goodwill (2010 - 2013) Analysis & Trends
At the end of FY2012, Interparfums reported Goodwill of $954,000, down 65.5% from FY2011.
- Across earlier years, Goodwill came in at $2.76 million in FY2011 (-24.4%) and $3.65 million in FY2010.
- Quarterly Goodwill has ranged from $931,000 in Q1 2013 to $3.92 million in Q2 2011 over the past five years.
- On a year-over-year basis, Goodwill has declined for six consecutive quarters, with an average decline of 49.0% over the last seven quarters.
- Per Business Quant, the preceding three quarters came in at $947,000 (Q2 2013), $931,000 (Q1 2013) and $954,000 (Q4 2012).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2013 | 973,000.00 |
| Jun 30, 2013 | 947,000.00 |
| Mar 31, 2013 | 931,000.00 |
| Dec 31, 2012 | 954,000.00 |
| Sep 30, 2012 | 2.76 Mn |
| Jun 30, 2012 | 2.69 Mn |
| Mar 31, 2012 | 2.85 Mn |
| Dec 31, 2011 | 2.76 Mn |
| Sep 30, 2011 | 3.69 Mn |
| Jun 30, 2011 | 3.92 Mn |
| Dec 31, 2010 | 3.65 Mn |
API Access
Interparfums Goodwill 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=goodwill&ticker=IPAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "ticker": "IPAR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=goodwill&ticker=IPAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();