International Flavors & Fragrances (IFF) Sales of Property, Plant and Equipment (2009 - 2025)
International Flavors & Fragrances' Sales of Property, Plant and Equipment came in at $21 million for Q4 2025, up 600.0% from $3 million a year earlier.
Powered by 
Analysis
International Flavors & Fragrances (IFF) Sales of Property, Plant and Equipment (2009 - 2025) Analysis & Trends
Going back to Q3 2009, International Flavors & Fragrances' Sales of Property, Plant and Equipment data covers 63 quarters.
- Sales of Property, Plant and Equipment carries a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- Going back by year, Sales of Property, Plant and Equipment was $21 million in FY2024 (-22.2%), $27 million in FY2023 (+237.5%), $8 million in FY2022 (-55.6%) and $18 million in FY2021 (+5.9%).
- The Q4 2025 figure represents the highest quarterly Sales of Property, Plant and Equipment in data going back to Q3 2009.
- Year-over-year, Sales of Property, Plant and Equipment increased in two of the last five quarters, with growth averaging 119.1%.
- The fastest year-over-year change in Sales of Property, Plant and Equipment over five years came in Q4 2025 (growth of 600.0%), and the weakest in Q1 2021 (a decline of 75.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 232.08 Bn | 213.65 Bn | 4.43 Bn | - |
| 2 | Corning | 113.97 Bn | 106.54 Bn | 1.63 Bn | - |
| 3 | Sherwin Williams | 81.98 Bn | 81.03 Bn | 3.34 Bn | - |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 83.80 Mn |
| 5 | LyondellBasell Industries | 41.35 Bn | 30.86 Bn | 2.04 Bn | - |
| 6 | Nutrien | 33.62 Bn | 30.45 Bn | 3.25 Bn | - |
| 7 | Ati | 24.94 Bn | 22.97 Bn | 309.80 Mn | - |
| 8 | Qnity Electronics | 24.80 Bn | 21.94 Bn | 666.00 Mn | - |
| 9 | Ppg Industries | 24.22 Bn | 16.88 Bn | 1.81 Bn | - |
| 10 | International Flavors & Fragrances | 23.27 Bn | 20.93 Bn | 853.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 21.00 Mn |
| Dec 31, 2024 | 3.00 Mn |
| Sep 30, 2024 | 2.00 Mn |
| Jun 30, 2024 | 13.00 Mn |
| Mar 31, 2024 | 3.00 Mn |
| Dec 31, 2023 | 5.00 Mn |
| Sep 30, 2023 | 1.00 Mn |
| Jun 30, 2023 | 14.00 Mn |
| Mar 31, 2023 | 7.00 Mn |
| Dec 31, 2022 | 7.00 Mn |
| Sep 30, 2022 | -3.00 Mn |
| Jun 30, 2022 | 2.00 Mn |
| Mar 31, 2022 | 2.00 Mn |
| Dec 31, 2021 | 5.00 Mn |
| Sep 30, 2021 | 11.00 Mn |
| Jun 30, 2021 | 1.00 Mn |
| Mar 31, 2021 | 1.00 Mn |
| Dec 31, 2020 | -1.00 Mn |
| Sep 30, 2020 | 17.00 Mn |
| Jun 30, 2020 | -3.00 Mn |
API Access
International Flavors & Fragrances Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=IFF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=IFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();