International Flavors & Fragrances (IFF) Intangibles (2009 - 2026)
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Analysis
International Flavors & Fragrances (IFF) Intangibles (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 239.83 Bn | 221.97 Bn | 4.44 Bn | 11.43 Bn |
| 2 | Corning | 99.72 Bn | 91.40 Bn | 1.81 Bn | 587.00 Mn |
| 3 | Sherwin Williams | 86.17 Bn | 85.18 Bn | 3.28 Bn | 3.74 Bn |
| 4 | Air Products & Chemicals | 69.05 Bn | 64.24 Bn | 1.04 Bn | 278.40 Mn |
| 5 | LyondellBasell Industries | 38.34 Bn | 26.40 Bn | 1.50 Bn | 366.00 Mn |
| 6 | Nutrien | 35.09 Bn | 31.62 Bn | 1.86 Bn | 1.52 Bn |
| 7 | Ppg Industries | 27.86 Bn | 20.78 Bn | 1.76 Bn | 1.90 Bn |
| 8 | Qnity Electronics | 26.20 Bn | 22.35 Bn | 743.00 Mn | 972.00 Mn |
| 9 | Ati | 25.21 Bn | 23.17 Bn | 380.20 Mn | - |
| 10 | International Flavors & Fragrances | 21.38 Bn | 19.63 Bn | 825.00 Mn | 3.47 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.47 Bn |
| Jun 30, 2026 | 3.73 Bn |
| Mar 31, 2026 | 5.87 Bn |
| Dec 31, 2025 | 3.96 Bn |
| Sep 30, 2025 | 6.18 Bn |
| Jun 30, 2025 | 6.43 Bn |
| Mar 31, 2025 | 6.38 Bn |
| Dec 31, 2024 | 6.45 Bn |
| Sep 30, 2024 | 6.77 Bn |
| Jun 30, 2024 | 6.88 Bn |
| Mar 31, 2024 | 8.12 Bn |
| Dec 31, 2023 | 8.36 Bn |
| Sep 30, 2023 | 8.38 Bn |
| Jun 30, 2023 | 8.81 Bn |
| Mar 31, 2023 | 8.97 Bn |
| Dec 31, 2022 | 9.08 Bn |
| Sep 30, 2022 | 9.39 Bn |
| Jun 30, 2022 | 9.87 Bn |
| Mar 31, 2022 | 10.25 Bn |
| Dec 31, 2021 | 10.51 Bn |
API Access
International Flavors & Fragrances Intangibles 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=intangibles&ticker=IFF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=IFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();