Magnera (MAGN) Total Liabilities (2010 - 2026)
Magnera's Total Liabilities came in at $2.82 billion for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 5.5% from $2.98 billion a year earlier and down 1.4% from the prior quarter.
Magnera (MAGN) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Magnera's Total Liabilities was $2.93 billion, up 337.9% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 32.8% (FY2020 to FY2025).
- Going back by fiscal year, Total Liabilities was $668 million in FY2024, $1.31 billion in FY2023 (-1.7%), $1.33 billion in FY2022 (-0.6%) and $1.34 billion in FY2021 (+88.7%).
- The fiscal Q3 2026 figure represents the lowest quarterly Total Liabilities since fiscal Q4 2024.
- Year-over-year, Total Liabilities has declined for three consecutive quarters, with growth averaging 81.9% over the last four quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q4 2025 (growth of 337.9%), and the weakest in fiscal Q3 2026 (a decline of 5.5%).
- Business Quant data shows MAGN's Total Liabilities at $2.86 billion (Q2 2026), $2.86 billion (Q1 2026) and $2.93 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 232.85 Bn | 214.43 Bn | 4.43 Bn | 47.73 Bn |
| 2 | Corning | 110.58 Bn | 103.15 Bn | 1.63 Bn | 19.83 Bn |
| 3 | Sherwin Williams | 82.23 Bn | 81.28 Bn | 3.34 Bn | 23.10 Bn |
| 4 | Air Products & Chemicals | 67.64 Bn | 62.83 Bn | 1.04 Bn | 23.85 Bn |
| 5 | LyondellBasell Industries | 41.20 Bn | 30.70 Bn | 2.04 Bn | 23.80 Bn |
| 6 | Nutrien | 33.13 Bn | 29.96 Bn | 3.25 Bn | 27.62 Bn |
| 7 | Ppg Industries | 24.52 Bn | 17.17 Bn | 1.81 Bn | 13.94 Bn |
| 8 | Qnity Electronics | 24.10 Bn | 21.24 Bn | 666.00 Mn | 6.79 Bn |
| 9 | International Flavors & Fragrances | 23.22 Bn | 20.88 Bn | 853.00 Mn | 11.15 Bn |
| 10 | Magnera | 409.62 Mn | -742.38 Mn | 112.00 Mn | 2.82 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 2.82 Bn |
| Mar 28, 2026 | 2.86 Bn |
| Dec 27, 2025 | 2.86 Bn |
| Sep 27, 2025 | 2.93 Bn |
| Jun 28, 2025 | 2.98 Bn |
| Mar 29, 2025 | 2.97 Bn |
| Dec 28, 2024 | 2.89 Bn |
| Sep 28, 2024 | 668.00 Mn |
| Jun 30, 2024 | 1.30 Bn |
| Mar 31, 2024 | 1.29 Bn |
| Sep 30, 2023 | -857.09 Mn |
| Jun 30, 2023 | 1.30 Bn |
| Mar 31, 2023 | 1.34 Bn |
| Dec 31, 2022 | 1.33 Bn |
| Sep 30, 2022 | 1.32 Bn |
| Jun 30, 2022 | 1.31 Bn |
| Dec 31, 2021 | 1.34 Bn |
| Sep 30, 2021 | 893.25 Mn |
| Jun 30, 2021 | 888.85 Mn |
| Mar 31, 2021 | 696.82 Mn |
Magnera 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=MAGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "MAGN", "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=MAGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();