International Flavors & Fragrances (IFF) Return on Sales [ROS] (2009 - 2026)
International Flavors & Fragrances' Return on Sales [ROS] was 8.09% in Q2 2026, up 0.69 percentage points from 7.40% a year earlier but down 1.87 percentage points from the prior quarter.
International Flavors & Fragrances (IFF) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, International Flavors & Fragrances' Return on Sales [ROS] was 7.56% through Jun 30, 2026, up 11.24 percentage points year-over-year; for FY2025, it was -3.51%, down 10.18 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -14.64 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 6.67% in FY2024 (+25.05 pp), -18.38% in FY2023 (-7.72 pp), -10.66% in FY2022 (-15.68 pp) and 5.02% in FY2021 (-6.11 pp).
- Quarterly Return on Sales [ROS] has moved between -93.82% (Q4 2023) and 10.57% (Q1 2022) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in five of the last eight quarters, with an average year-over-year change of +13.15 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2024 (a gain of 98.40 percentage points); the worst was Q4 2023 (a drop of 97.51 percentage points).
- Per Business Quant data, IFF's Return on Sales [ROS] in the three quarters before Q2 2026 was 9.96% (Q1 2026), 3.75% (Q4 2025) and 8.39% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 27.49% |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 15.49% |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 18.18% |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | -66.34% |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 16.81% |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 28.51% |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 25.75% |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 17.45% |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 14.73% |
| 10 | International Flavors & Fragrances | 21.04 Bn | 18.74 Bn | 853.00 Mn | 8.09% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.09% |
| Mar 31, 2026 | 9.96% |
| Dec 31, 2025 | 3.75% |
| Sep 30, 2025 | 8.39% |
| Jun 30, 2025 | 7.40% |
| Mar 31, 2025 | -31.76% |
| Dec 31, 2024 | 4.58% |
| Sep 30, 2024 | 8.51% |
| Jun 30, 2024 | 6.61% |
| Mar 31, 2024 | 6.86% |
| Dec 31, 2023 | -93.82% |
| Sep 30, 2023 | 5.32% |
| Jun 30, 2023 | 4.95% |
| Mar 31, 2023 | 4.33% |
| Dec 31, 2022 | 3.69% |
| Sep 30, 2022 | -64.81% |
| Jun 30, 2022 | 6.44% |
| Mar 31, 2022 | 10.57% |
| Dec 31, 2021 | 5.71% |
| Sep 30, 2021 | 9.70% |
International Flavors & Fragrances Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=IFF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=IFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();