Del Monte (DMC) Operating Expenses (2009 - 2026)
Del Monte's Operating Expenses was $72.6 million in Q2 2026, up 41.5% from $51.3 million a year earlier and up 42.1% from the prior quarter.
Del Monte (DMC) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Del Monte's Operating Expenses was $237 million through Jun 26, 2026, up 21.2% year-over-year; for FY2025, it was $212.7 million, up 8.0% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $196.9 million in FY2024 (+5.5%), $186.7 million in FY2023 (-0.1%), $186.8 million in FY2022 (-3.2%) and $192.9 million in FY2021 (-1.7%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q1 2010.
- Compared with a year earlier, Operating Expenses has increased for five straight quarters, with growth averaging 11.3% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2026 (growth of 41.5%); the worst was Q2 2022 (a decline of 8.0%).
- Per Business Quant data, DMC's Operating Expenses in the three quarters before Q2 2026 was $51.1 million (Q1 2026), $61.2 million (Q4 2025) and $52.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 39.05 Bn | 35.05 Bn | 1.94 Bn | 1.04 Bn |
| 2 | Bunge Global | 19.96 Bn | 16.08 Bn | 1.68 Bn | 606.00 Mn |
| 3 | Tyson Foods | 19.23 Bn | 15.48 Bn | 921.00 Mn | 559.00 Mn |
| 4 | Jbs | 13.78 Bn | -19.49 Bn | 2.59 Bn | 1.99 Bn |
| 5 | Darling Ingredients | 9.32 Bn | 8.86 Bn | 503.37 Mn | 1.52 Bn |
| 6 | Smithfield Foods | 7.29 Bn | 2.24 Bn | 478.00 Mn | 191.00 Mn |
| 7 | Pilgrims Pride | 6.81 Bn | 4.63 Bn | 339.75 Mn | 273.80 Mn |
| 8 | Ingredion | 6.17 Bn | 2.35 Bn | 426.00 Mn | 45.00 Mn |
| 9 | Seaboard | 3.72 Bn | -1.13 Bn | 221.00 Mn | 121.00 Mn |
| 10 | Del Monte | 1.41 Bn | 1.17 Bn | 121.30 Mn | 72.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 72.60 Mn |
| Mar 27, 2026 | 51.10 Mn |
| Dec 26, 2025 | 61.20 Mn |
| Sep 26, 2025 | 52.10 Mn |
| Jun 27, 2025 | 51.30 Mn |
| Mar 28, 2025 | 48.10 Mn |
| Dec 27, 2024 | 48.30 Mn |
| Sep 27, 2024 | 47.90 Mn |
| Jun 28, 2024 | 49.90 Mn |
| Mar 29, 2024 | 50.70 Mn |
| Dec 29, 2023 | 44.10 Mn |
| Sep 29, 2023 | 48.10 Mn |
| Jun 30, 2023 | 46.80 Mn |
| Mar 31, 2023 | 47.60 Mn |
| Dec 30, 2022 | 47.50 Mn |
| Sep 30, 2022 | 46.80 Mn |
| Jul 1, 2022 | 47.30 Mn |
| Apr 1, 2022 | 45.20 Mn |
| Dec 31, 2021 | 44.60 Mn |
| Oct 1, 2021 | 48.00 Mn |
Del Monte 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=DMC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "DMC", "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=DMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();