International Flavors & Fragrances (IFF) EV to EBITDA (2010 - 2026)
International Flavors & Fragrances' EV to EBITDA was 37.64 in Q3 2026, up 30.1% from 28.92 a year earlier and up 29.4% from the prior quarter.
International Flavors & Fragrances (IFF) EV to EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, International Flavors & Fragrances' EV to EBITDA was 34.95 through Sep 30, 2026, up 38.1% year-over-year; for FY2025, it was 29.17, up 145.2% from FY2024.
- In earlier years, EV to EBITDA was 11.90 in FY2024 and 21.68 in FY2021 (+74.2%).
- The Q3 2026 figure marks the highest quarterly EV to EBITDA in data going back to Q3 2010.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 239.83 Bn | 221.97 Bn | 4.44 Bn |
| 2 | Corning | 99.72 Bn | 91.40 Bn | 1.81 Bn |
| 3 | Sherwin Williams | 86.17 Bn | 85.18 Bn | 3.28 Bn |
| 4 | Air Products & Chemicals | 69.05 Bn | 64.24 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 38.34 Bn | 26.40 Bn | 1.50 Bn |
| 6 | Nutrien | 35.09 Bn | 31.62 Bn | 1.86 Bn |
| 7 | Ppg Industries | 27.86 Bn | 20.78 Bn | 1.76 Bn |
| 8 | Qnity Electronics | 26.20 Bn | 22.35 Bn | 743.00 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 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 37.64 |
| Jun 30, 2026 | 11.57 |
| Mar 31, 2026 | 10.52 |
| Dec 31, 2025 | 31.82 |
| Sep 30, 2025 | 27.11 |
| Jun 30, 2025 | 30.94 |
| Mar 31, 2025 | 30.25 |
| Dec 31, 2024 | 11.90 |
| Sep 30, 2023 | 10.09 |
| Jun 30, 2022 | 13.46 |
| Mar 31, 2022 | 15.38 |
| Dec 31, 2021 | 21.68 |
| Sep 30, 2021 | 23.02 |
| Jun 30, 2021 | 33.31 |
| Mar 31, 2021 | 32.55 |
| Dec 31, 2020 | 12.44 |
| Sep 30, 2020 | 14.62 |
| Jun 30, 2020 | 14.09 |
| Mar 31, 2020 | 10.90 |
| Dec 31, 2019 | 14.11 |
International Flavors & Fragrances EV to EBITDA 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=ev-to-ebitda&ticker=IFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=IFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();