Hershey (HSY) Depreciation & Amortization (CF) (2009 - 2026)
Hershey (HSY) recorded Depreciation & Amortization (CF) of $136.1 million in Q2 2026, up 9.9% from $123.83 million a year earlier and up 2.3% from the prior quarter.
Hershey (HSY) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
On a TTM basis, Hershey's Depreciation & Amortization (CF) came in at $529.4 million as of Jun 28, 2026, up 10.2% year-over-year; for FY2025, it came in at $503.7 million, up 10.6% from FY2024.
- Annual Depreciation & Amortization (CF) has increased for six straight years, with a five-year compound annual growth rate of 11.3% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $455.26 million in FY2024 (+8.4%), $419.82 million in FY2023 (+10.8%), $378.96 million in FY2022 (+20.3%) and $315 million in FY2021 (+6.8%).
- The Q2 2026 figure is the highest quarterly Depreciation & Amortization (CF) in data going back to Q1 2009.
- On a year-over-year basis, Depreciation & Amortization (CF) has increased for 24 consecutive quarters, with growth averaging 10.0% over the last eight quarters.
- Over the past five years, the year-over-year growth in Depreciation & Amortization (CF) ranged from 3.8% (Q3 2021) to 23.4% (Q2 2022).
- Per Business Quant, the preceding three quarters came in at $133 million (Q1 2026), $132.52 million (Q4 2025) and $127.78 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 129.94 Bn | 105.31 Bn | - | - |
| 2 | Mondelez International | 73.72 Bn | 67.04 Bn | 3.99 Bn | 350.00 Mn |
| 3 | Hershey | 32.21 Bn | 28.45 Bn | 1.26 Bn | 136.10 Mn |
| 4 | Kraft Heinz | 26.65 Bn | 13.18 Bn | 2.03 Bn | 261.00 Mn |
| 5 | General Mills | 16.93 Bn | 14.59 Bn | 1.49 Bn | 139.80 Mn |
| 6 | J M Smucker | 12.38 Bn | 12.16 Bn | 979.60 Mn | 69.60 Mn |
| 7 | Mccormick | 11.89 Bn | 11.54 Bn | 794.90 Mn | 76.60 Mn |
| 8 | Hormel Foods | 11.00 Bn | 7.68 Bn | 471.52 Mn | 66.43 Mn |
| 9 | Chewy | 7.12 Bn | 4.40 Bn | 1.01 Bn | 39.70 Mn |
| 10 | Conagra Brands | 6.31 Bn | 5.62 Bn | 618.70 Mn | 97.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 136.10 Mn |
| Mar 29, 2026 | 133.00 Mn |
| Dec 31, 2025 | 132.52 Mn |
| Sep 28, 2025 | 127.78 Mn |
| Jun 29, 2025 | 123.83 Mn |
| Mar 30, 2025 | 119.56 Mn |
| Dec 31, 2024 | 123.82 Mn |
| Sep 29, 2024 | 113.26 Mn |
| Jun 30, 2024 | 110.42 Mn |
| Mar 31, 2024 | 107.76 Mn |
| Dec 31, 2023 | 116.72 Mn |
| Oct 1, 2023 | 103.31 Mn |
| Jul 2, 2023 | 101.59 Mn |
| Apr 2, 2023 | 98.20 Mn |
| Dec 31, 2022 | 99.88 Mn |
| Oct 2, 2022 | 94.20 Mn |
| Jul 3, 2022 | 93.85 Mn |
| Apr 3, 2022 | 91.04 Mn |
| Dec 31, 2021 | 83.05 Mn |
| Oct 3, 2021 | 78.02 Mn |
Hershey Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=HSY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=HSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();