Magnera (MAGN) Operating Leases (2024 - 2026)
Magnera (MAGN) posted Operating Leases of $42 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 12.5% from $48 million a year earlier and down 2.3% from the prior quarter.
Magnera (MAGN) Operating Leases (2024 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Magnera's Operating Leases came in at $45 million, up 15.4% from FY2024.
- In prior fiscal years, Magnera's Operating Leases was $39 million in FY2024.
- The fiscal Q3 2026 figure stands as the lowest quarterly Operating Leases since fiscal Q4 2024.
- On a year-over-year basis, Operating Leases has declined in each of the last three quarters, with an average decline of 10.4% over the last four quarters.
- According to Business Quant data, Operating Leases for the three prior fiscal quarters was $43 million (Q2 2026), $44 million (Q1 2026) and $45 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 235.45 Bn | 217.03 Bn | 4.43 Bn |
| 2 | Corning | 106.11 Bn | 98.68 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 84.02 Bn | 83.06 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 68.27 Bn | 63.45 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 41.76 Bn | 31.27 Bn | 2.04 Bn |
| 6 | Nutrien | 33.60 Bn | 30.43 Bn | 3.25 Bn |
| 7 | Ppg Industries | 24.93 Bn | 17.59 Bn | 1.81 Bn |
| 8 | International Flavors & Fragrances | 23.70 Bn | 21.36 Bn | 853.00 Mn |
| 9 | Qnity Electronics | 23.13 Bn | 20.27 Bn | 666.00 Mn |
| 10 | Magnera | 416.62 Mn | -735.38 Mn | 112.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 42.00 Mn |
| Mar 28, 2026 | 43.00 Mn |
| Dec 27, 2025 | 44.00 Mn |
| Sep 27, 2025 | 45.00 Mn |
| Jun 28, 2025 | 48.00 Mn |
| Mar 29, 2025 | 55.00 Mn |
| Dec 28, 2024 | 57.00 Mn |
| Sep 28, 2024 | 39.00 Mn |
Magnera Operating Leases 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=operating-leases&ticker=MAGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=MAGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();