International Flavors & Fragrances (IFF) Return on Assets [ROA] (2010 - 2026)
International Flavors & Fragrances (IFF) recorded Return on Assets [ROA] of 1.17% in Q2 2026, up 2.71 percentage points from -1.54% a year earlier but down 2.15 percentage points from the prior quarter.
International Flavors & Fragrances (IFF) Return on Assets [ROA] (2010 - 2026) Analysis & Trends
For FY2025, International Flavors & Fragrances reported Return on Assets [ROA] of -1.32%, down 2.22 percentage points from FY2024.
- Annual Return on Assets [ROA] has a five-year change of -4.06 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Assets [ROA] came in at 0.89% in FY2024 (+8.67 pp), -7.78% in FY2023 (-2.82 pp), -4.96% in FY2022 (-6.01 pp) and 1.05% in FY2021 (-1.69 pp).
- Quarterly Return on Assets [ROA] has ranged from -8.17% in Q1 2024 to 3.32% in Q1 2026 over the past five years.
- On a year-over-year basis, Return on Assets [ROA] rose in six of the last eight quarters, with an average year-over-year change of +3.19 percentage points.
- Peak year-over-year performance for Return on Assets [ROA] in the last five years was a gain of 8.83 percentage points in Q4 2024, against a drop of 7.94 percentage points in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 3.32% (Q1 2026), -1.35% (Q4 2025) and -1.68% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 8.44% |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 6.46% |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 10.08% |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 0.01% |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 2.42% |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | -0.99% |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 4.48% |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 4.44% |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 8.91% |
| 10 | International Flavors & Fragrances | 21.31 Bn | 19.01 Bn | 853.00 Mn | 1.17% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.17% |
| Mar 31, 2026 | 3.32% |
| Dec 31, 2025 | -1.35% |
| Sep 30, 2025 | -1.68% |
| Jun 30, 2025 | -1.54% |
| Mar 31, 2025 | -2.97% |
| Dec 31, 2024 | 0.79% |
| Sep 30, 2024 | -7.87% |
| Jun 30, 2024 | -7.89% |
| Mar 31, 2024 | -8.17% |
| Dec 31, 2023 | -8.04% |
| Sep 30, 2023 | 0.06% |
| Jun 30, 2023 | -6.29% |
| Mar 31, 2023 | -5.97% |
| Dec 31, 2022 | -5.32% |
| Sep 30, 2022 | -4.73% |
| Jun 30, 2022 | 1.63% |
| Mar 31, 2022 | 1.42% |
| Dec 31, 2021 | 0.70% |
| Sep 30, 2021 | 0.62% |
International Flavors & Fragrances Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=IFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=IFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();