International Flavors & Fragrances (IFF) Operating Expenses (2009 - 2026)
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Analysis
International Flavors & Fragrances (IFF) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 239.83 Bn | 221.97 Bn | 4.44 Bn | 1.35 Bn |
| 2 | Corning | 99.72 Bn | 91.40 Bn | 1.81 Bn | 877.00 Mn |
| 3 | Sherwin Williams | 86.17 Bn | 85.18 Bn | 3.28 Bn | 2.07 Bn |
| 4 | Air Products & Chemicals | 69.05 Bn | 64.24 Bn | 1.04 Bn | 3.15 Bn |
| 5 | LyondellBasell Industries | 38.34 Bn | 26.40 Bn | 1.50 Bn | 7.43 Bn |
| 6 | Nutrien | 35.09 Bn | 31.62 Bn | 1.86 Bn | 158.00 Mn |
| 7 | Ppg Industries | 27.86 Bn | 20.78 Bn | 1.76 Bn | 1.12 Bn |
| 8 | Qnity Electronics | 26.20 Bn | 22.35 Bn | 743.00 Mn | 305.00 Mn |
| 9 | Ati | 25.21 Bn | 23.17 Bn | 380.20 Mn | 108.60 Mn |
| 10 | International Flavors & Fragrances | 21.38 Bn | 19.63 Bn | 825.00 Mn | 562.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 562.00 Mn |
| Jun 30, 2026 | 613.00 Mn |
| Mar 31, 2026 | 599.00 Mn |
| Dec 31, 2025 | 659.00 Mn |
| Sep 30, 2025 | 611.00 Mn |
| Jun 30, 2025 | 599.00 Mn |
| Mar 31, 2025 | 642.00 Mn |
| Dec 31, 2024 | 710.00 Mn |
| Sep 30, 2024 | 658.00 Mn |
| Jun 30, 2024 | 668.00 Mn |
| Mar 31, 2024 | 659.00 Mn |
| Dec 31, 2023 | 608.00 Mn |
| Sep 30, 2023 | 603.00 Mn |
| Jun 30, 2023 | 613.00 Mn |
| Mar 31, 2023 | 667.00 Mn |
| Dec 31, 2022 | 590.00 Mn |
| Sep 30, 2022 | 554.00 Mn |
| Jun 30, 2022 | 621.00 Mn |
| Mar 31, 2022 | 618.00 Mn |
| Dec 31, 2021 | 623.00 Mn |
API Access
International Flavors & Fragrances 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=operating-expenses&ticker=IFF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=IFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();