Mgp Ingredients (MGPI) Total Liabilities (2010 - 2026)
Mgp Ingredients (MGPI) recorded Total Liabilities of $437.1 million in Q3 2026, down 16.5% from $523.49 million a year earlier and down 6.4% from the prior quarter.
Mgp Ingredients (MGPI) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Mgp Ingredients reported Total Liabilities of $517.43 million, down 9.7% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 37.8% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $573.24 million in FY2024 (+5.5%), $543.28 million in FY2023 (+31.7%), $412.57 million in FY2022 (+3.9%) and $397.2 million in FY2021 (+281.7%).
- The Q3 2026 figure is the lowest quarterly Total Liabilities since Q1 2023.
- On a year-over-year basis, Total Liabilities has declined for five consecutive quarters, with an average decline of 6.0% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 287.4% in Q1 2022, against a decline of 18.1% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $466.95 million (Q2 2026), $451.66 million (Q1 2026) and $517.43 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 413.22 Bn | 399.53 Bn | 8.45 Bn | 68.42 Bn |
| 2 | Diageo | 224.45 Bn | 204.52 Bn | - | 33.89 Bn |
| 3 | Coca Cola Femsa Sab De Cv | 196.49 Bn | 189.17 Bn | - | 9.36 Bn |
| 4 | Pepsico | 192.84 Bn | 150.60 Bn | 13.75 Bn | 89.49 Bn |
| 5 | Anheuser-Busch InBev | 148.28 Bn | 110.64 Bn | - | 124.89 Bn |
| 6 | Monster Beverage | 88.63 Bn | 76.88 Bn | 1.42 Bn | 2.02 Bn |
| 7 | Coca-Cola Europacific Partners | 53.10 Bn | 46.73 Bn | - | 25.89 Bn |
| 8 | Keurig Dr Pepper | 50.04 Bn | 46.09 Bn | 3.07 Bn | 58.39 Bn |
| 9 | Ambev | 43.10 Bn | 28.94 Bn | - | 10.28 Bn |
| 10 | Mgp Ingredients | 380.19 Mn | 319.97 Mn | 40.46 Mn | 437.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 437.10 Mn |
| Jun 30, 2026 | 466.95 Mn |
| Mar 31, 2026 | 451.66 Mn |
| Dec 31, 2025 | 517.43 Mn |
| Sep 30, 2025 | 523.49 Mn |
| Jun 30, 2025 | 545.93 Mn |
| Mar 31, 2025 | 551.51 Mn |
| Dec 31, 2024 | 573.24 Mn |
| Sep 30, 2024 | 527.73 Mn |
| Jun 30, 2024 | 541.18 Mn |
| Mar 31, 2024 | 524.74 Mn |
| Dec 31, 2023 | 543.28 Mn |
| Sep 30, 2023 | 548.18 Mn |
| Jun 30, 2023 | 588.01 Mn |
| Mar 31, 2023 | 408.24 Mn |
| Dec 31, 2022 | 412.57 Mn |
| Sep 30, 2022 | 408.22 Mn |
| Jun 30, 2022 | 403.55 Mn |
| Mar 31, 2022 | 397.41 Mn |
| Dec 31, 2021 | 397.20 Mn |
Mgp Ingredients Total Liabilities 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=total-liabilities&ticker=MGPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MGPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();