Hain Celestial (HAIN) Depreciation and Depletion (2014 - 2026)
Hain Celestial's Depreciation and Depletion came in at $6.68 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 21.7% from $8.53 million a year earlier and down 8.2% from the prior quarter.
Hain Celestial (HAIN) Depreciation and Depletion (2014 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Hain Celestial's Depreciation and Depletion was $33.51 million, up 3.1% from FY2025.
- Depreciation and Depletion carries a five-year compound annual growth rate of -0.5% (FY2021 to FY2026).
- Going back by fiscal year, Depreciation and Depletion was $32.49 million in FY2025 (-5.4%), $34.33 million in FY2024 (-4.3%), $35.89 million in FY2023 (+14.9%) and $31.24 million in FY2022 (-8.9%).
- The fiscal Q4 2026 figure represents the lowest quarterly Depreciation and Depletion since fiscal Q4 2018.
- Year-over-year, Depreciation and Depletion increased in three of the last eight quarters, with an average decline of 0.5%.
- The fastest year-over-year change in Depreciation and Depletion over five years came in fiscal Q1 2026 (growth of 44.7%), and the weakest in fiscal Q1 2022 (a decline of 23.7%).
- Business Quant data shows HAIN's Depreciation and Depletion at $7.28 million (Q3 2026), $8.1 million (Q2 2026) and $11.44 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 227.00 Mn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | - |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 69.60 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | - |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 24.50 Mn |
| 10 | Hain Celestial | 47.32 Mn | -170.97 Mn | 59.20 Mn | 6.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.68 Mn |
| Mar 31, 2026 | 7.28 Mn |
| Dec 31, 2025 | 8.10 Mn |
| Sep 30, 2025 | 11.44 Mn |
| Jun 30, 2025 | 8.53 Mn |
| Mar 31, 2025 | 8.01 Mn |
| Dec 31, 2024 | 8.04 Mn |
| Sep 30, 2024 | 7.91 Mn |
| Jun 30, 2024 | 7.92 Mn |
| Mar 31, 2024 | 8.23 Mn |
| Dec 31, 2023 | 8.35 Mn |
| Sep 30, 2023 | 9.83 Mn |
| Jun 30, 2023 | 9.98 Mn |
| Mar 31, 2023 | 9.65 Mn |
| Dec 31, 2022 | 8.20 Mn |
| Sep 30, 2022 | 8.07 Mn |
| Jun 30, 2022 | 8.29 Mn |
| Mar 31, 2022 | 8.29 Mn |
| Dec 31, 2021 | 7.24 Mn |
| Sep 30, 2021 | 7.41 Mn |
Hain Celestial 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=HAIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "HAIN", "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=HAIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();