Magnera (MAGN) Operating Expenses (2010 - 2026)
Magnera's Operating Expenses came in at $79 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 23.4% from $64 million a year earlier and up 19.7% from the prior quarter.
Magnera (MAGN) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Magnera reported Operating Expenses of $283 million, down 9.6% year-over-year; for FY2025 (ended Sep 27, 2025), it came in at $279 million, up 103.6% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 23.0% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $137 million in FY2024, $109.74 million in FY2023 (-12.2%), $125 million in FY2022 (+3.1%) and $121.25 million in FY2021 (+22.3%).
- The five-year range for quarterly Operating Expenses is $24.71 million (fiscal Q4 2023) to $100 million (fiscal Q2 2024).
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q2 2024 (growth of 249.2%), and the weakest in fiscal Q4 2022 (a decline of 20.4%).
- Business Quant data shows MAGN's Operating Expenses at $66 million (Q2 2026), $72 million (Q1 2026) and $66 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 3.15 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 1.60 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 7.63 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 169.00 Mn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 298.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 99.60 Mn |
| 10 | Magnera | 406.69 Mn | -745.31 Mn | 112.00 Mn | 79.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 79.00 Mn |
| Mar 28, 2026 | 66.00 Mn |
| Dec 27, 2025 | 72.00 Mn |
| Sep 27, 2025 | 66.00 Mn |
| Jun 28, 2025 | 64.00 Mn |
| Mar 29, 2025 | 70.00 Mn |
| Dec 28, 2024 | 79.00 Mn |
| Jun 29, 2024 | 30.00 Mn |
| Mar 30, 2024 | 32.00 Mn |
| Dec 30, 2023 | 38.00 Mn |
| Sep 30, 2023 | 24.71 Mn |
| Jun 30, 2023 | 28.64 Mn |
| Mar 31, 2023 | 30.75 Mn |
| Dec 31, 2022 | 34.55 Mn |
| Sep 30, 2022 | 28.89 Mn |
| Jun 30, 2022 | 28.40 Mn |
| Mar 31, 2022 | 33.17 Mn |
| Dec 31, 2021 | 43.37 Mn |
| Sep 30, 2021 | 26.07 Mn |
| Jun 30, 2021 | 28.98 Mn |
Magnera Operating Expenses 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-expenses&ticker=MAGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=MAGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();