International Flavors & Fragrances (IFF) Interest Expenses (2009 - 2026)
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Analysis
International Flavors & Fragrances (IFF) Interest Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 239.83 Bn | 221.97 Bn | 4.44 Bn | 71.00 Mn |
| 2 | Corning | 99.72 Bn | 91.40 Bn | 1.81 Bn | 87.00 Mn |
| 3 | Sherwin Williams | 86.17 Bn | 85.18 Bn | 3.28 Bn | 139.30 Mn |
| 4 | Air Products & Chemicals | 69.05 Bn | 64.24 Bn | 1.04 Bn | 49.40 Mn |
| 5 | LyondellBasell Industries | 38.34 Bn | 26.40 Bn | 1.50 Bn | 138.00 Mn |
| 6 | Nutrien | 35.09 Bn | 31.62 Bn | 1.86 Bn | 178.00 Mn |
| 7 | Ppg Industries | 27.86 Bn | 20.78 Bn | 1.76 Bn | 67.00 Mn |
| 8 | Qnity Electronics | 26.20 Bn | 22.35 Bn | 743.00 Mn | 64.00 Mn |
| 9 | Ati | 25.21 Bn | 23.17 Bn | 380.20 Mn | - |
| 10 | International Flavors & Fragrances | 21.38 Bn | 19.63 Bn | 825.00 Mn | 46.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 46.00 Mn |
| Jun 30, 2026 | 46.00 Mn |
| Mar 31, 2026 | 44.00 Mn |
| Dec 31, 2025 | 49.00 Mn |
| Sep 30, 2025 | 48.00 Mn |
| Jun 30, 2025 | 61.00 Mn |
| Mar 31, 2025 | 71.00 Mn |
| Dec 31, 2024 | 69.00 Mn |
| Sep 30, 2024 | 74.00 Mn |
| Jun 30, 2024 | 79.00 Mn |
| Mar 31, 2024 | 83.00 Mn |
| Dec 31, 2023 | 89.00 Mn |
| Sep 30, 2023 | 90.00 Mn |
| Jun 30, 2023 | 101.00 Mn |
| Mar 31, 2023 | 100.00 Mn |
| Dec 31, 2022 | 104.00 Mn |
| Sep 30, 2022 | 83.00 Mn |
| Jun 30, 2022 | 77.00 Mn |
| Mar 31, 2022 | 72.00 Mn |
| Dec 31, 2021 | 73.00 Mn |
API Access
International Flavors & Fragrances Interest Expenses 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=interest-expenses&ticker=IFF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=IFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();