International Flavors & Fragrances (IFF) Price to Earnings (2010 - 2026)
International Flavors & Fragrances' Price to Earnings came in at 29.06 for Q2 2026, up 189.4% from the prior quarter.
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Analysis
International Flavors & Fragrances (IFF) Price to Earnings (2010 - 2026) Analysis & Trends
For FY2024, International Flavors & Fragrances' Price to Earnings was 82.20.
- Going back by year, Price to Earnings was 142.04 in FY2021 (+343.0%) and 32.06 in FY2020 (+1.2%).
- The Q2 2026 figure represents the highest quarterly Price to Earnings since Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 235.23 Bn | 216.81 Bn | 4.43 Bn |
| 2 | Corning | 106.66 Bn | 99.22 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 82.20 Bn | 81.24 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 68.45 Bn | 63.64 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 42.89 Bn | 32.40 Bn | 2.04 Bn |
| 6 | Nutrien | 33.91 Bn | 30.74 Bn | 3.25 Bn |
| 7 | Ppg Industries | 24.62 Bn | 17.28 Bn | 1.81 Bn |
| 8 | International Flavors & Fragrances | 23.96 Bn | 21.62 Bn | 853.00 Mn |
| 9 | Dow | 23.51 Bn | 7.01 Bn | 2.17 Bn |
| 10 | Qnity Electronics | 22.95 Bn | 20.08 Bn | 666.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.06 |
| Mar 31, 2026 | 10.04 |
| Dec 31, 2025 | 26.23 |
| Dec 31, 2024 | 82.20 |
| Sep 30, 2023 | 915.88 |
| Jun 30, 2022 | 47.68 |
| Mar 31, 2022 | 59.97 |
| Dec 31, 2021 | 141.00 |
| Dec 31, 2020 | 11,639.13 |
| Mar 31, 2020 | 707.52 |
| Dec 31, 2019 | 14,445.85 |
| Sep 30, 2019 | 35.43 |
| Jun 30, 2019 | 45.59 |
| Mar 31, 2019 | 45.14 |
| Dec 31, 2018 | 34.60 |
| Sep 30, 2018 | 39.79 |
| Jun 30, 2018 | 32.82 |
| Mar 31, 2018 | 34.97 |
| Dec 31, 2017 | 40.81 |
| Sep 30, 2017 | 27.18 |
API Access
International Flavors & Fragrances Price to Earnings 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=price-to-earnings&ticker=IFF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=IFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();