Hershey (HSY) EBITDA (2009 - 2026)
Hershey (HSY) recorded EBITDA of $953.93 million in Q3 2026, up 69.6% from $562.37 million a year earlier and up 22.5% from the prior quarter.
Hershey (HSY) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Hershey's EBITDA came in at $3.08 billion as of Sep 27, 2026, up 26.9% year-over-year; for FY2025, it came in at $1.95 billion, down 42.0% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $3.35 billion in FY2024 (+12.5%), $2.98 billion in FY2023 (+12.9%), $2.64 billion in FY2022 (+11.9%) and $2.36 billion in FY2021 (+13.5%).
- The Q3 2026 figure is the highest quarterly EBITDA since Q4 2024.
- On a year-over-year basis, EBITDA has increased for three consecutive quarters, with growth averaging 26.2% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 145.9% in Q2 2026, against a decline of 58.1% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $778.74 million (Q2 2026), $773.7 million (Q1 2026) and $577.43 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 145.28 Bn | 96.74 Bn | - | - |
| 2 | Mondelez International | 84.79 Bn | 77.80 Bn | 3.92 Bn | 2.11 Bn |
| 3 | Hershey | 34.79 Bn | 31.52 Bn | 1.51 Bn | 953.93 Mn |
| 4 | Kraft Heinz | 28.94 Bn | 16.59 Bn | 1.99 Bn | 1.14 Bn |
| 5 | General Mills | 18.77 Bn | 16.41 Bn | 1.49 Bn | 773.40 Mn |
| 6 | J M Smucker | 14.22 Bn | 14.00 Bn | 979.60 Mn | 639.10 Mn |
| 7 | Mccormick | 12.91 Bn | 11.98 Bn | 794.90 Mn | 293.60 Mn |
| 8 | Hormel Foods | 12.24 Bn | 8.91 Bn | 471.52 Mn | 177.33 Mn |
| 9 | Chewy | 9.37 Bn | 6.66 Bn | 1.01 Bn | 131.70 Mn |
| 10 | Lamb Weston Holdings | 7.83 Bn | 7.46 Bn | 266.50 Mn | 183.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 953.93 Mn |
| Jun 28, 2026 | 778.74 Mn |
| Mar 29, 2026 | 773.70 Mn |
| Dec 31, 2025 | 577.43 Mn |
| Sep 28, 2025 | 562.37 Mn |
| Jun 29, 2025 | 316.64 Mn |
| Mar 30, 2025 | 488.79 Mn |
| Dec 31, 2024 | 1.06 Bn |
| Sep 29, 2024 | 726.42 Mn |
| Jun 30, 2024 | 398.24 Mn |
| Mar 31, 2024 | 1.17 Bn |
| Dec 31, 2023 | 581.05 Mn |
| Oct 1, 2023 | 839.26 Mn |
| Jul 2, 2023 | 662.25 Mn |
| Apr 2, 2023 | 898.12 Mn |
| Dec 31, 2022 | 626.52 Mn |
| Oct 2, 2022 | 650.82 Mn |
| Jul 3, 2022 | 550.38 Mn |
| Apr 3, 2022 | 812.03 Mn |
| Dec 31, 2021 | 542.22 Mn |
Hershey EBITDA 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=ebitda&ticker=HSY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=HSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();