Hain Celestial (HAIN) Total Non-Current Liabilities (2010 - 2026)
Hain Celestial (HAIN) reported Total Non-Current Liabilities of $908.39 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 15.9% from $1.08 billion a year earlier and down 1.2% from the prior quarter.
Hain Celestial (HAIN) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
Dating back to fiscal Q4 2010, Hain Celestial's Total Non-Current Liabilities record includes 65 quarters.
- Total Non-Current Liabilities has declined for four consecutive fiscal years, though with a five-year compound annual growth rate of 6.9% (FY2021 to FY2026).
- By fiscal year, Total Non-Current Liabilities came in at $1.08 billion in FY2025 (-5.8%), $1.15 billion in FY2024 (-5.6%), $1.21 billion in FY2023 (-10.2%) and $1.35 billion in FY2022 (+108.3%).
- The fiscal Q4 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since fiscal Q1 2022.
- Year over year, Total Non-Current Liabilities has now declined in each of the last 14 quarters, with an average decline of 7.8% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was fiscal Q4 2022 (growth of 108.3%); the low point was fiscal Q3 2026 (a decline of 17.4%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $919.87 million (Q3 2026), $1.12 billion (Q2 2026) and $1.09 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | 34.56 Bn |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 42.64 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 8.76 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 35.62 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 21.57 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 8.16 Bn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 8.50 Bn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 5.23 Bn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 3.32 Bn |
| 10 | Hain Celestial | 44.59 Mn | -173.70 Mn | 59.20 Mn | 908.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 908.39 Mn |
| Mar 31, 2026 | 919.87 Mn |
| Dec 31, 2025 | 1.12 Bn |
| Sep 30, 2025 | 1.09 Bn |
| Jun 30, 2025 | 1.08 Bn |
| Mar 31, 2025 | 1.11 Bn |
| Dec 31, 2024 | 1.13 Bn |
| Sep 30, 2024 | 1.14 Bn |
| Jun 30, 2024 | 1.15 Bn |
| Mar 31, 2024 | 1.18 Bn |
| Dec 31, 2023 | 1.21 Bn |
| Sep 30, 2023 | 1.21 Bn |
| Jun 30, 2023 | 1.21 Bn |
| Mar 31, 2023 | 1.24 Bn |
| Dec 31, 2022 | 1.30 Bn |
| Sep 30, 2022 | 1.36 Bn |
| Jun 30, 2022 | 1.35 Bn |
| Mar 31, 2022 | 1.28 Bn |
| Dec 31, 2021 | 1.20 Bn |
| Sep 30, 2021 | 764.30 Mn |
Hain Celestial Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=HAIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=HAIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();