Mgp Ingredients (MGPI) Total Current Liabilities (2010 - 2026)
Mgp Ingredients (MGPI) reported Total Current Liabilities of $74.23 million for Q3 2026, down 59.6% from $183.93 million a year earlier and down 3.0% from the prior quarter.
Mgp Ingredients (MGPI) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Mgp Ingredients posted Total Current Liabilities of $200.05 million, up 116.4% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of 30.3% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $92.45 million in FY2024 (-19.0%), $114.11 million in FY2023 (+8.3%), $105.38 million in FY2022 (+18.7%) and $88.8 million in FY2021 (+66.5%).
- The Q3 2026 figure ranks as the lowest quarterly Total Current Liabilities since Q1 2021.
- Year over year, Total Current Liabilities gained in five of the last eight quarters, with growth averaging 42.9%.
- The high point for year-over-year Total Current Liabilities in five years was Q1 2025 (growth of 127.2%); the low point was Q3 2026 (a decline of 59.6%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $76.49 million (Q2 2026), $184.99 million (Q1 2026) and $200.05 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 413.22 Bn | 399.53 Bn | 8.45 Bn | 24.21 Bn |
| 2 | Diageo | 224.45 Bn | 204.52 Bn | - | 10.73 Bn |
| 3 | Coca Cola Femsa Sab De Cv | 196.49 Bn | 189.17 Bn | - | 3.71 Bn |
| 4 | Pepsico | 192.84 Bn | 150.60 Bn | 13.75 Bn | 34.53 Bn |
| 5 | Anheuser-Busch InBev | 148.28 Bn | 110.64 Bn | - | 33.48 Bn |
| 6 | Monster Beverage | 88.63 Bn | 76.88 Bn | 1.42 Bn | 1.72 Bn |
| 7 | Coca-Cola Europacific Partners | 53.10 Bn | 46.73 Bn | - | 8.91 Bn |
| 8 | Keurig Dr Pepper | 50.04 Bn | 46.09 Bn | 3.07 Bn | 19.74 Bn |
| 9 | Ambev | 43.10 Bn | 28.94 Bn | - | 8.33 Bn |
| 10 | Mgp Ingredients | 380.19 Mn | 319.97 Mn | 40.46 Mn | 74.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 74.23 Mn |
| Jun 30, 2026 | 76.49 Mn |
| Mar 31, 2026 | 184.99 Mn |
| Dec 31, 2025 | 200.05 Mn |
| Sep 30, 2025 | 183.93 Mn |
| Jun 30, 2025 | 178.61 Mn |
| Mar 31, 2025 | 182.34 Mn |
| Dec 31, 2024 | 92.45 Mn |
| Sep 30, 2024 | 82.34 Mn |
| Jun 30, 2024 | 84.79 Mn |
| Mar 31, 2024 | 80.26 Mn |
| Dec 31, 2023 | 114.11 Mn |
| Sep 30, 2023 | 90.11 Mn |
| Jun 30, 2023 | 118.65 Mn |
| Mar 31, 2023 | 102.32 Mn |
| Dec 31, 2022 | 105.38 Mn |
| Sep 30, 2022 | 100.79 Mn |
| Jun 30, 2022 | 93.26 Mn |
| Mar 31, 2022 | 84.46 Mn |
| Dec 31, 2021 | 88.80 Mn |
Mgp Ingredients Total Current 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-current-liabilities&ticker=MGPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=MGPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();