International Flavors & Fragrances (IFF) Other Operating Expenses (2009 - 2011)
International Flavors & Fragrances' Other Operating Expenses was $1.7 billion in FY2013, up 0.6% from $1.69 billion in FY2012.
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Analysis
International Flavors & Fragrances (IFF) Other Operating Expenses (2009 - 2011) Analysis & Trends
From FY2009 onward, International Flavors & Fragrances has reported Other Operating Expenses for 5 years.
- Other Operating Expenses shows a four-year compound annual growth rate of 4.0% (FY2009 to FY2013).
- Annual Other Operating Expenses has moved between $1.46 billion (FY2009) and $1.74 billion (FY2011) over five years.
- Per Business Quant data, Other Operating Expenses in earlier years was $1.69 billion in FY2012 (-2.8%), $1.74 billion in FY2011 (+9.5%), $1.59 billion in FY2010 (+9.0%) and $1.46 billion in FY2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 216.41 Bn | 199.52 Bn | 4.43 Bn |
| 2 | Corning | 138.24 Bn | 131.38 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 77.94 Bn | 76.98 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 60.86 Bn | 58.76 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 37.33 Bn | 26.95 Bn | 2.04 Bn |
| 6 | Nutrien | 33.61 Bn | 30.48 Bn | 3.25 Bn |
| 7 | Qnity Electronics | 26.88 Bn | 24.31 Bn | 666.00 Mn |
| 8 | Ati | 26.00 Bn | 24.15 Bn | 309.80 Mn |
| 9 | Ppg Industries | 23.27 Bn | 16.07 Bn | 1.81 Bn |
| 10 | International Flavors & Fragrances | 21.22 Bn | 18.91 Bn | 853.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2011 | 407.24 Mn |
| Sep 30, 2011 | 451.53 Mn |
| Jun 30, 2011 | 444.23 Mn |
| Dec 31, 2010 | 390.29 Mn |
| Sep 30, 2010 | 402.58 Mn |
| Jun 30, 2010 | 394.96 Mn |
| Dec 31, 2009 | 366.25 Mn |
| Sep 30, 2009 | 377.26 Mn |
| Jun 30, 2009 | 355.96 Mn |
API Access
International Flavors & Fragrances Other Operating 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=other-operating-expenses&ticker=IFF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "IFF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=IFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();