Mgp Ingredients (MGPI) Property, Plant & Equipment (Net) (2010 - 2026)
Mgp Ingredients (MGPI) recorded Property, Plant & Equipment (Net) of $296.44 million in Q2 2026, down 9.0% from $325.75 million a year earlier and down 0.4% from the prior quarter.
Mgp Ingredients (MGPI) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Mgp Ingredients reported Property, Plant & Equipment (Net) of $327.99 million, up 3.6% from FY2024.
- Annual Property, Plant & Equipment (Net) has increased for 11 straight years, with a five-year compound annual growth rate of 20.0% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $316.67 million in FY2024 (+20.7%), $262.3 million in FY2023 (+11.3%), $235.63 million in FY2022 (+13.7%) and $207.29 million in FY2021 (+57.0%).
- The Q2 2026 figure is the lowest quarterly Property, Plant & Equipment (Net) since Q3 2024.
- On a year-over-year basis, Property, Plant & Equipment (Net) rose in six of the last eight quarters, with growth averaging 9.6%.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 57.0% in Q4 2021, against a decline of 9.0% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $297.54 million (Q1 2026), $327.99 million (Q4 2025) and $326.98 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 368.60 Bn | 357.24 Bn | 8.42 Bn | 9.64 Bn |
| 2 | Diageo | 206.17 Bn | 198.57 Bn | - | 9.00 Bn |
| 3 | Coca Cola Femsa Sab De Cv | 179.07 Bn | 179.07 Bn | 2.06 Bn | - |
| 4 | Pepsico | 171.83 Bn | 132.26 Bn | 13.11 Bn | 29.77 Bn |
| 5 | Anheuser-Busch InBev | 131.95 Bn | 100.69 Bn | 9.58 Bn | 23.00 Bn |
| 6 | Monster Beverage | 84.12 Bn | 72.37 Bn | 1.42 Bn | 1.10 Bn |
| 7 | Ambev | 46.97 Bn | 32.99 Bn | 2.06 Bn | 5.07 Bn |
| 8 | Coca-Cola Europacific Partners | 45.38 Bn | 38.63 Bn | - | 7.16 Bn |
| 9 | Keurig Dr Pepper | 41.33 Bn | 41.57 Bn | 3.07 Bn | 6.32 Bn |
| 10 | Mgp Ingredients | 273.86 Mn | 213.80 Mn | 46.47 Mn | 296.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 296.44 Mn |
| Mar 31, 2026 | 297.54 Mn |
| Dec 31, 2025 | 327.99 Mn |
| Sep 30, 2025 | 326.98 Mn |
| Jun 30, 2025 | 325.75 Mn |
| Mar 31, 2025 | 319.90 Mn |
| Dec 31, 2024 | 316.67 Mn |
| Sep 30, 2024 | 292.14 Mn |
| Jun 30, 2024 | 275.75 Mn |
| Mar 31, 2024 | 270.90 Mn |
| Dec 31, 2023 | 262.30 Mn |
| Sep 30, 2023 | 243.25 Mn |
| Jun 30, 2023 | 250.65 Mn |
| Mar 31, 2023 | 240.97 Mn |
| Dec 31, 2022 | 235.63 Mn |
| Sep 30, 2022 | 220.69 Mn |
| Jun 30, 2022 | 211.99 Mn |
| Mar 31, 2022 | 207.37 Mn |
| Dec 31, 2021 | 207.29 Mn |
| Sep 30, 2021 | 197.25 Mn |
Mgp Ingredients Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=MGPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=MGPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();