Hain Celestial (HAIN) Operating Expenses (2009 - 2026)
Hain Celestial's Operating Expenses was $62.55 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 7.2% from $67.42 million a year earlier and down 2.1% from the prior quarter.
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Analysis
Hain Celestial (HAIN) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Operating Expenses at Hain Celestial came in at $248.04 million, down 8.8% from FY2025.
- Operating Expenses shows a five-year compound annual growth rate of -3.8% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $271.83 million in FY2025 (-6.3%), $290.12 million in FY2024 (+0.3%), $289.23 million in FY2023 (-3.7%) and $300.47 million in FY2022 (-0.4%).
- Quarterly Operating Expenses has moved between $60.9 million (fiscal Q2 2026) and $80.14 million (fiscal Q2 2022) over five years.
- Compared with a year earlier, Operating Expenses has declined for five straight quarters, with an average decline of 5.0% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q4 2022 (growth of 11.8%); the worst was fiscal Q2 2026 (a decline of 13.2%).
- Per Business Quant data, HAIN's Operating Expenses in the three fiscal quarters before Q4 2026 was $63.87 million (Q3 2026), $60.9 million (Q2 2026) and $74.02 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.12 Bn | 95.58 Bn | - | - |
| 2 | Mondelez International | 84.19 Bn | 77.20 Bn | 3.92 Bn | 2.14 Bn |
| 3 | Hershey | 35.81 Bn | 32.54 Bn | 1.51 Bn | 706.14 Mn |
| 4 | Kraft Heinz | 29.23 Bn | 16.88 Bn | 1.99 Bn | 1.11 Bn |
| 5 | General Mills | 19.05 Bn | 16.70 Bn | 1.49 Bn | 853.60 Mn |
| 6 | J M Smucker | 13.93 Bn | 13.71 Bn | 979.60 Mn | 411.10 Mn |
| 7 | Mccormick | 13.03 Bn | 12.10 Bn | 794.90 Mn | 436.40 Mn |
| 8 | Hormel Foods | 12.08 Bn | 8.75 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | 919.20 Mn |
| 10 | Hain Celestial | 13.53 Mn | -204.76 Mn | 59.20 Mn | 62.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.55 Mn |
| Mar 31, 2026 | 63.87 Mn |
| Dec 31, 2025 | 60.90 Mn |
| Sep 30, 2025 | 74.02 Mn |
| Jun 30, 2025 | 67.42 Mn |
| Mar 31, 2025 | 70.60 Mn |
| Dec 31, 2024 | 70.16 Mn |
| Sep 30, 2024 | 76.72 Mn |
| Jun 30, 2024 | 72.28 Mn |
| Mar 31, 2024 | 66.72 Mn |
| Dec 31, 2023 | 73.95 Mn |
| Sep 30, 2023 | 77.17 Mn |
| Jun 30, 2023 | 66.88 Mn |
| Mar 31, 2023 | 75.05 Mn |
| Dec 31, 2022 | 72.36 Mn |
| Sep 30, 2022 | 74.95 Mn |
| Jun 30, 2022 | 70.79 Mn |
| Mar 31, 2022 | 75.75 Mn |
| Dec 31, 2021 | 80.14 Mn |
| Sep 30, 2021 | 73.99 Mn |
API Access
Hain Celestial Operating 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=operating-expenses&ticker=HAIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=HAIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();