Hershey (HSY) Selling, General & Administrative (2009 - 2026)
Hershey (HSY) recorded Selling, General & Administrative of $620.55 million in Q2 2026, up 2.9% from $603.21 million a year earlier and up 7.7% from the prior quarter.
Hershey (HSY) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a TTM basis, Hershey's Selling, General & Administrative came in at $2.5 billion as of Jun 28, 2026, up 5.0% year-over-year; for FY2025, it was $2.46 billion, up 3.7% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 5.4% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $2.37 billion in FY2024 (-2.6%), $2.44 billion in FY2023 (+9.0%), $2.24 billion in FY2022 (+11.7%) and $2 billion in FY2021 (+5.8%).
- Quarterly Selling, General & Administrative has ranged from $486.14 million in Q3 2021 to $698.15 million in Q4 2025 over the past five years.
- On a year-over-year basis, Selling, General & Administrative has increased for five consecutive quarters, with growth averaging 1.3% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 16.2% in Q2 2022, against a decline of 9.6% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $576.04 million (Q1 2026), $698.15 million (Q4 2025) and $600.54 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 2.00 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 620.55 Mn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 832.20 Mn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 410.50 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 436.40 Mn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 704.40 Mn |
| 10 | Conagra Brands | 6.38 Bn | 5.69 Bn | 618.70 Mn | 350.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 620.55 Mn |
| Mar 29, 2026 | 576.04 Mn |
| Dec 31, 2025 | 698.15 Mn |
| Sep 28, 2025 | 600.54 Mn |
| Jun 29, 2025 | 603.21 Mn |
| Mar 30, 2025 | 558.67 Mn |
| Dec 31, 2024 | 622.73 Mn |
| Sep 29, 2024 | 591.92 Mn |
| Jun 30, 2024 | 540.99 Mn |
| Mar 31, 2024 | 617.98 Mn |
| Dec 31, 2023 | 658.81 Mn |
| Oct 1, 2023 | 624.30 Mn |
| Jul 2, 2023 | 571.80 Mn |
| Apr 2, 2023 | 581.59 Mn |
| Dec 31, 2022 | 616.45 Mn |
| Oct 2, 2022 | 551.88 Mn |
| Jul 3, 2022 | 543.47 Mn |
| Apr 3, 2022 | 524.22 Mn |
| Dec 31, 2021 | 552.92 Mn |
| Oct 3, 2021 | 486.14 Mn |
Hershey Selling, General & Administrative 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=selling-general-and-administrative&ticker=HSY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=HSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();