International Flavors & Fragrances (IFF) Depreciation and Depletion (2021 - 2026)
International Flavors & Fragrances (IFF) recorded Depreciation and Depletion of $72 million in Q2 2026, up 12.5% from $64 million a year earlier but down 28.0% from the prior quarter.
International Flavors & Fragrances (IFF) Depreciation and Depletion (2021 - 2026) Analysis & Trends
On a TTM basis, International Flavors & Fragrances' Depreciation and Depletion came in at $376 million as of Jun 30, 2026, up 4.7% year-over-year; for FY2025, it was $394 million, down 2.7% from FY2024.
- Annual Depreciation and Depletion has a five-year compound annual growth rate of 24.4% (FY2020 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $405 million in FY2024 (-12.3%), $462 million in FY2023 (+2.2%), $452 million in FY2022 (+6.6%) and $424 million in FY2021 (+221.2%).
- Quarterly Depreciation and Depletion has ranged from $64 million in Q2 2025 to $122 million in Q3 2023 over the past five years.
- On a year-over-year basis, Depreciation and Depletion has increased for three consecutive quarters, with an average decline of 7.2% over the last eight quarters.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 12.5% in Q2 2026, against a decline of 31.2% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $100 million (Q1 2026), $103 million (Q4 2025) and $101 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 216.41 Bn | 199.52 Bn | 4.43 Bn | - |
| 2 | Corning | 138.24 Bn | 131.38 Bn | 1.63 Bn | 368.00 Mn |
| 3 | Sherwin Williams | 77.94 Bn | 76.98 Bn | 3.34 Bn | 98.50 Mn |
| 4 | Air Products & Chemicals | 60.86 Bn | 58.76 Bn | 1.04 Bn | - |
| 5 | LyondellBasell Industries | 37.33 Bn | 26.95 Bn | 2.04 Bn | - |
| 6 | Nutrien | 33.61 Bn | 30.48 Bn | 3.25 Bn | - |
| 7 | Qnity Electronics | 26.88 Bn | 24.31 Bn | 666.00 Mn | 47.00 Mn |
| 8 | Ati | 26.00 Bn | 24.15 Bn | 309.80 Mn | - |
| 9 | Ppg Industries | 23.27 Bn | 16.07 Bn | 1.81 Bn | 108.00 Mn |
| 10 | International Flavors & Fragrances | 21.22 Bn | 18.91 Bn | 853.00 Mn | 72.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 72.00 Mn |
| Mar 31, 2026 | 100.00 Mn |
| Dec 31, 2025 | 103.00 Mn |
| Sep 30, 2025 | 101.00 Mn |
| Jun 30, 2025 | 64.00 Mn |
| Mar 31, 2025 | 93.00 Mn |
| Dec 31, 2024 | 100.00 Mn |
| Sep 30, 2024 | 102.00 Mn |
| Jun 30, 2024 | 93.00 Mn |
| Mar 31, 2024 | 110.00 Mn |
| Dec 31, 2023 | 120.00 Mn |
| Sep 30, 2023 | 122.00 Mn |
| Jun 30, 2023 | 115.00 Mn |
| Mar 31, 2023 | 105.00 Mn |
| Dec 31, 2022 | 107.00 Mn |
| Sep 30, 2022 | 111.00 Mn |
| Jun 30, 2022 | 117.00 Mn |
| Mar 31, 2022 | 117.00 Mn |
| Dec 31, 2021 | 110.00 Mn |
| Sep 30, 2021 | 102.00 Mn |
International Flavors & Fragrances Depreciation and Depletion 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=depreciation-and-depletion&ticker=IFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=IFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();