Sonoco Products (SON) Operating Expenses (2010 - 2026)
Sonoco Products (SON) posted Operating Expenses of $202.18 million for Q2 2026, down 11.5% from $228.53 million a year earlier and down 6.7% from the prior quarter.
Sonoco Products (SON) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Operating Expenses at Sonoco Products was $896.08 million, up 5.7% year-over-year; for FY2025, it came in at $928.4 million, up 17.6% from FY2024.
- Annual Operating Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- In prior years, Sonoco Products' Operating Expenses was $789.2 million in FY2024 (+14.0%), $692.45 million in FY2023 (+4.6%), $661.96 million in FY2022 (+15.6%) and $572.39 million in FY2021 (-15.1%).
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q3 2024.
- On a year-over-year basis, Operating Expenses has declined in each of the last three quarters, with growth averaging 23.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2024, with growth of 135.3%; the weakest was Q4 2022, with a decline of 46.7%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $216.67 million (Q1 2026), $207.87 million (Q4 2025) and $269.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Smurfit Westrock | 23.31 Bn | 20.35 Bn | 1.44 Bn | 953.00 Mn |
| 2 | Packaging Corp Of America | 22.31 Bn | 19.88 Bn | 603.90 Mn | 182.70 Mn |
| 3 | Amcor | 21.07 Bn | 16.48 Bn | 1.16 Bn | 571.00 Mn |
| 4 | International Paper | 18.57 Bn | 14.65 Bn | 1.93 Bn | 1.01 Bn |
| 5 | Ball | 17.52 Bn | 14.68 Bn | 709.00 Mn | 749.00 Mn |
| 6 | Crown Holdings | 13.17 Bn | 10.53 Bn | 724.00 Mn | 248.00 Mn |
| 7 | Sonoco Products | 5.03 Bn | 4.07 Bn | 405.32 Mn | 214.40 Mn |
| 8 | Silgan Holdings | 4.41 Bn | 2.21 Bn | 328.59 Mn | 137.91 Mn |
| 9 | Graphic Packaging Holding | 3.33 Bn | 2.34 Bn | 307.00 Mn | 190.00 Mn |
| 10 | Ardagh Metal Packaging | 2.85 Bn | 1.79 Bn | 197.00 Mn | 70.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 214.40 Mn |
| Jun 28, 2026 | 202.18 Mn |
| Mar 29, 2026 | 216.67 Mn |
| Dec 31, 2025 | 207.87 Mn |
| Sep 28, 2025 | 269.35 Mn |
| Jun 29, 2025 | 228.53 Mn |
| Mar 30, 2025 | 222.64 Mn |
| Dec 31, 2024 | 230.73 Mn |
| Sep 29, 2024 | 165.97 Mn |
| Jun 30, 2024 | 193.91 Mn |
| Mar 31, 2024 | 198.59 Mn |
| Dec 31, 2023 | 98.05 Mn |
| Oct 1, 2023 | 200.78 Mn |
| Jul 2, 2023 | 176.83 Mn |
| Apr 2, 2023 | 216.79 Mn |
| Dec 31, 2022 | 84.73 Mn |
| Oct 2, 2022 | 185.20 Mn |
| Jul 3, 2022 | 189.53 Mn |
| Apr 3, 2022 | 202.50 Mn |
| Dec 31, 2021 | 158.88 Mn |
Sonoco Products Operating Expenses 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=operating-expenses&ticker=SON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SON", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=SON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();