International Flavors & Fragrances (IFF) Return on Capital Employed [ROCE] (2010 - 2026)
International Flavors & Fragrances' Return on Capital Employed [ROCE] was 3.64% in Q2 2026, up 5.24 percentage points from -1.60% a year earlier and up 0.23 percentage points from the prior quarter.
International Flavors & Fragrances (IFF) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at International Flavors & Fragrances came in at -1.65%, down 4.65 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of -6.56 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was 3.00% in FY2024 (+10.16 pp), -7.15% in FY2023 (-3.24 pp), -3.92% in FY2022 (-6.46 pp) and 2.55% in FY2021 (-2.37 pp).
- The Q2 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since Q4 2020.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in six of the last eight quarters, with an average year-over-year change of +2.98 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q4 2024 (a gain of 10.49 percentage points); the worst was Q3 2024 (a drop of 8.91 percentage points).
- Per Business Quant data, IFF's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was 3.40% (Q1 2026), -2.02% (Q4 2025) and -1.87% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 216.41 Bn | 199.52 Bn | 4.43 Bn | 13.17% |
| 2 | Corning | 138.24 Bn | 131.38 Bn | 1.63 Bn | 9.96% |
| 3 | Sherwin Williams | 77.94 Bn | 76.98 Bn | 3.34 Bn | 23.44% |
| 4 | Air Products & Chemicals | 60.86 Bn | 58.76 Bn | 1.04 Bn | -1.63% |
| 5 | LyondellBasell Industries | 37.33 Bn | 26.95 Bn | 2.04 Bn | 3.55% |
| 6 | Nutrien | 33.61 Bn | 30.48 Bn | 3.25 Bn | 24.09% |
| 7 | Qnity Electronics | 26.88 Bn | 24.31 Bn | 666.00 Mn | 10.47% |
| 8 | Ati | 26.00 Bn | 24.15 Bn | 309.80 Mn | 17.58% |
| 9 | Ppg Industries | 23.27 Bn | 16.07 Bn | 1.81 Bn | 13.38% |
| 10 | International Flavors & Fragrances | 21.22 Bn | 18.91 Bn | 853.00 Mn | 3.64% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.64% |
| Mar 31, 2026 | 3.40% |
| Dec 31, 2025 | -2.02% |
| Sep 30, 2025 | -1.87% |
| Jun 30, 2025 | -1.60% |
| Mar 31, 2025 | -1.41% |
| Dec 31, 2024 | 3.07% |
| Sep 30, 2024 | -7.15% |
| Jun 30, 2024 | -7.48% |
| Mar 31, 2024 | -7.57% |
| Dec 31, 2023 | -7.42% |
| Sep 30, 2023 | 1.76% |
| Jun 30, 2023 | -5.17% |
| Mar 31, 2023 | -5.02% |
| Dec 31, 2022 | -4.24% |
| Sep 30, 2022 | -3.78% |
| Jun 30, 2022 | 2.94% |
| Mar 31, 2022 | 2.58% |
| Dec 31, 2021 | 1.61% |
| Sep 30, 2021 | 1.38% |
International Flavors & Fragrances Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=IFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=IFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();