Magnera (MAGN) Total Non-Current Liabilities (2010 - 2026)
Magnera's Total Non-Current Liabilities came in at $2.56 billion for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 5.0% from $2.7 billion a year earlier and down 1.4% from the prior quarter.
Magnera (MAGN) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Magnera's Total Non-Current Liabilities was $2.64 billion, up 360.6% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 34.6% (FY2020 to FY2025).
- Going back by fiscal year, Total Non-Current Liabilities was $574 million in FY2024, $1.19 billion in FY2023 (-1.8%), $1.21 billion in FY2022 (+1.0%) and $1.2 billion in FY2021 (+99.8%).
- The fiscal Q3 2026 figure represents the lowest quarterly Total Non-Current Liabilities since fiscal Q4 2024.
- Year-over-year, Total Non-Current Liabilities has declined for three consecutive quarters, with growth averaging 86.5% over the last four quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in fiscal Q4 2025 (growth of 360.6%), and the weakest in fiscal Q2 2026 (a decline of 5.2%).
- Business Quant data shows MAGN's Total Non-Current Liabilities at $2.6 billion (Q2 2026), $2.58 billion (Q1 2026) and $2.64 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 36.82 Bn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 14.10 Bn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 20.50 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 19.27 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 5.45 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 22.10 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 27.37 Bn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 5.75 Bn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 3.41 Bn |
| 10 | Magnera | 406.69 Mn | -745.31 Mn | 112.00 Mn | 2.56 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 2.56 Bn |
| Mar 28, 2026 | 2.60 Bn |
| Dec 27, 2025 | 2.58 Bn |
| Sep 27, 2025 | 2.64 Bn |
| Jun 28, 2025 | 2.70 Bn |
| Mar 29, 2025 | 2.74 Bn |
| Dec 28, 2024 | 2.70 Bn |
| Sep 28, 2024 | 574.00 Mn |
| Sep 30, 2023 | -979.93 Mn |
| Jun 30, 2023 | 1.17 Bn |
| Mar 31, 2023 | 1.21 Bn |
| Dec 31, 2022 | 1.21 Bn |
| Sep 30, 2022 | 1.18 Bn |
| Jun 30, 2022 | 1.17 Bn |
| Dec 31, 2021 | 1.20 Bn |
| Sep 30, 2021 | 772.34 Mn |
| Jun 30, 2021 | 764.74 Mn |
| Mar 31, 2021 | 582.20 Mn |
| Dec 31, 2020 | 598.94 Mn |
| Sep 30, 2020 | 581.94 Mn |
Magnera Total Non-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-non-current-liabilities&ticker=MAGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=MAGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();