Hershey (HSY) Total Non-Current Liabilities (2009 - 2026)
Hershey (HSY) posted Total Non-Current Liabilities of $8.76 billion for Q2 2026, up 3.3% from $8.48 billion a year earlier and up 3.9% from the prior quarter.
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Analysis
Hershey (HSY) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Hershey's Total Non-Current Liabilities came in at $8.37 billion, up 11.0% from FY2024.
- Annual Total Non-Current Liabilities has increased for six consecutive years, with a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- In prior years, Hershey's Total Non-Current Liabilities was $7.54 billion in FY2024 (+5.6%), $7.14 billion in FY2023 (+3.1%), $6.93 billion in FY2022 (+0.9%) and $6.87 billion in FY2021 (+10.6%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities in data going back to Q2 2009.
- On a year-over-year basis, Total Non-Current Liabilities increased in seven of the last eight quarters, with growth averaging 6.8%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q2 2022, with growth of 16.8%; the weakest was Q3 2021, with a decline of 4.1%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $8.43 billion (Q1 2026), $8.37 billion (Q4 2025) and $8.38 billion (Q3 2025).
Peer Set
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 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | 10.72 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 8.76 Bn |
| Mar 29, 2026 | 8.43 Bn |
| Dec 31, 2025 | 8.37 Bn |
| Sep 28, 2025 | 8.38 Bn |
| Jun 29, 2025 | 8.48 Bn |
| Mar 30, 2025 | 8.61 Bn |
| Dec 31, 2024 | 7.54 Bn |
| Sep 29, 2024 | 7.71 Bn |
| Jun 30, 2024 | 7.71 Bn |
| Mar 31, 2024 | 7.62 Bn |
| Dec 31, 2023 | 7.14 Bn |
| Oct 1, 2023 | 7.33 Bn |
| Jul 2, 2023 | 7.12 Bn |
| Apr 2, 2023 | 6.94 Bn |
| Dec 31, 2022 | 6.93 Bn |
| Oct 2, 2022 | 7.00 Bn |
| Jul 3, 2022 | 6.93 Bn |
| Apr 3, 2022 | 6.95 Bn |
| Dec 31, 2021 | 6.87 Bn |
| Oct 3, 2021 | 6.26 Bn |
API Access
Hershey 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=HSY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "HSY", "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=HSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();