International Flavors & Fragrances (IFF) Asset Writedowns and Impairment (2022 - 2025)
International Flavors & Fragrances' Asset Writedowns and Impairment came in at $1.15 billion for FY2025, compared with $64 million in FY2024.
International Flavors & Fragrances (IFF) Asset Writedowns and Impairment (2022 - 2025) Analysis & Trends
Going back to FY2022, International Flavors & Fragrances' Asset Writedowns and Impairment data covers 4 years.
- Asset Writedowns and Impairment carries a three-year compound annual growth rate of -20.0% (FY2022 to FY2025).
- The five-year range for annual Asset Writedowns and Impairment is $64 million (FY2024) to $2.62 billion (FY2023).
- Per Business Quant, earlier years put Asset Writedowns and Impairment at $64 million in FY2024 (-97.6%), $2.62 billion in FY2023 (+16.6%) and $2.25 billion in FY2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 235.23 Bn | 216.81 Bn | 4.43 Bn |
| 2 | Corning | 106.66 Bn | 99.22 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 82.20 Bn | 81.24 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 68.45 Bn | 63.64 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 42.89 Bn | 32.40 Bn | 2.04 Bn |
| 6 | Nutrien | 33.91 Bn | 30.74 Bn | 3.25 Bn |
| 7 | Ppg Industries | 24.62 Bn | 17.28 Bn | 1.81 Bn |
| 8 | International Flavors & Fragrances | 23.96 Bn | 21.62 Bn | 853.00 Mn |
| 9 | Dow | 23.51 Bn | 7.01 Bn | 2.17 Bn |
| 10 | Qnity Electronics | 22.95 Bn | 20.08 Bn | 666.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 1.15 Bn |
| Jun 30, 2024 | 64.00 Mn |
| Dec 31, 2023 | 2.56 Bn |
| Sep 30, 2022 | 2.25 Bn |
| Jun 30, 2022 | 120.00 Mn |
International Flavors & Fragrances Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=IFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=IFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();