Mgp Ingredients (MGPI) Operating Expenses (2010 - 2026)
Mgp Ingredients' Operating Expenses came in at $20.24 million for Q2 2026, down 12.6% from $23.16 million a year earlier and down 3.9% from the prior quarter.
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Analysis
Mgp Ingredients (MGPI) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Mgp Ingredients reported Operating Expenses of $81.76 million, down 0.3% year-over-year; for FY2025, it was $84.82 million, up 4.2% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 15.2% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $81.39 million in FY2024 (-10.9%), $91.4 million in FY2023 (+22.5%), $74.63 million in FY2022 (+2.5%) and $72.83 million in FY2021 (+74.0%).
- The five-year range for quarterly Operating Expenses is $16.24 million (Q1 2022) to $25.78 million (Q4 2023).
- Year-over-year, Operating Expenses increased in four of the last eight quarters, with an average decline of 4.5%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2021 (growth of 106.9%), and the weakest in Q2 2022 (a decline of 30.8%).
- Business Quant data shows MGPI's Operating Expenses at $21.07 million (Q1 2026), $21.53 million (Q4 2025) and $18.93 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 399.38 Bn | 385.85 Bn | 8.42 Bn | 3.72 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 198.07 Bn | 198.07 Bn | 2.06 Bn | 1.49 Bn |
| 3 | Pepsico | 184.43 Bn | 142.19 Bn | 13.75 Bn | 9.49 Bn |
| 4 | Monster Beverage | 91.59 Bn | 79.84 Bn | 1.42 Bn | 679.19 Mn |
| 5 | Diageo | 51.69 Bn | 31.75 Bn | - | - |
| 6 | Ambev | 51.46 Bn | 36.75 Bn | 2.06 Bn | -263.15 Mn |
| 7 | Coca-Cola Europacific Partners | 50.74 Bn | 43.41 Bn | - | -1.63 Bn |
| 8 | Keurig Dr Pepper | 47.13 Bn | 43.17 Bn | 3.07 Bn | 2.40 Bn |
| 9 | Constellation Brands | 22.46 Bn | 22.01 Bn | 1.39 Bn | 538.20 Mn |
| 10 | Mgp Ingredients | 317.75 Mn | 257.69 Mn | 46.47 Mn | 20.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.24 Mn |
| Mar 31, 2026 | 21.07 Mn |
| Dec 31, 2025 | 21.53 Mn |
| Sep 30, 2025 | 18.93 Mn |
| Jun 30, 2025 | 23.16 Mn |
| Mar 31, 2025 | 21.21 Mn |
| Dec 31, 2024 | 20.45 Mn |
| Sep 30, 2024 | 17.20 Mn |
| Jun 30, 2024 | 22.76 Mn |
| Mar 31, 2024 | 20.98 Mn |
| Dec 31, 2023 | 25.78 Mn |
| Sep 30, 2023 | 21.57 Mn |
| Jun 30, 2023 | 23.51 Mn |
| Mar 31, 2023 | 20.53 Mn |
| Dec 31, 2022 | 22.63 Mn |
| Sep 30, 2022 | 17.91 Mn |
| Jun 30, 2022 | 17.85 Mn |
| Mar 31, 2022 | 16.24 Mn |
| Dec 31, 2021 | 17.55 Mn |
| Sep 30, 2021 | 18.54 Mn |
API Access
Mgp Ingredients 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=MGPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MGPI", "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=MGPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();