Hain Celestial (HAIN) Other Operating Expenses (2016 - 2025)
Hain Celestial (HAIN) posted Other Operating Expenses of $25.9 million for FY2026 (year ended Jun 30, 2026).
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Analysis
Hain Celestial (HAIN) Other Operating Expenses (2016 - 2025) Analysis & Trends
Since FY2016, Hain Celestial has reported Other Operating Expenses for 8 fiscal years.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 112.9% (FY2021 to FY2026).
- The FY2026 figure stands as the highest annual Other Operating Expenses since FY2017.
- Business Quant data shows HAIN's Other Operating Expenses at $196,000 in FY2022 (-66.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn |
| 10 | Hain Celestial | 44.59 Mn | -173.70 Mn | 59.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 25.90 Mn |
| Sep 30, 2021 | 196,000.00 |
| Mar 31, 2021 | 592,000.00 |
| Mar 31, 2020 | 400,000.00 |
| Sep 30, 2019 | 2.56 Mn |
| Jun 30, 2019 | 4.46 Mn |
| Dec 31, 2018 | 920,000.00 |
| Sep 30, 2018 | 3.41 Mn |
| Jun 30, 2018 | 2.89 Mn |
| Mar 31, 2018 | 3.31 Mn |
| Dec 31, 2017 | 4.45 Mn |
| Sep 30, 2017 | 3.64 Mn |
| Jun 30, 2017 | 9.47 Mn |
| Mar 31, 2017 | 7.12 Mn |
| Dec 31, 2016 | 7.01 Mn |
| Sep 30, 2016 | 5.96 Mn |
| Jun 30, 2016 | 739,000.00 |
| Mar 31, 2016 | 9.01 Mn |
API Access
Hain Celestial Other 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=other-operating-expenses&ticker=HAIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=HAIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();