Magnera (MAGN) Return on Sales [ROS] (2010 - 2026)
Magnera (MAGN) recorded Return on Sales [ROS] of 2.57% in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 1.02 percentage points from 1.55% a year earlier and up 0.43 percentage points from the prior quarter.
Magnera (MAGN) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Magnera's Return on Sales [ROS] came in at 1.92% as of Jun 27, 2026, up 1.39 percentage points year-over-year; for FY2025 (ended Sep 27, 2025), it was 0.16%, up 6.60 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -5.21 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Return on Sales [ROS] came in at -6.45% in FY2024, 0.19% in FY2023 (+11.19 pp), -10.99% in FY2022 (-13.63 pp) and 2.64% in FY2021 (-2.73 pp).
- The fiscal Q3 2026 figure is the highest quarterly Return on Sales [ROS] since fiscal Q3 2021.
- On a year-over-year basis, Return on Sales [ROS] has increased for three consecutive quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 31.98 percentage points in fiscal Q1 2023, against a drop of 38.04 percentage points in fiscal Q1 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 2.14% (Q2 2026), 1.77% (Q1 2026) and 1.19% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 27.49% |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 15.49% |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 18.18% |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | -66.34% |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 16.81% |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 28.51% |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 25.75% |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 17.45% |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 14.73% |
| 10 | Magnera | 417.43 Mn | -734.57 Mn | 112.00 Mn | 2.57% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 2.57% |
| Mar 28, 2026 | 2.14% |
| Dec 27, 2025 | 1.77% |
| Sep 27, 2025 | 1.19% |
| Jun 28, 2025 | 1.55% |
| Mar 29, 2025 | 0.49% |
| Dec 28, 2024 | -3.13% |
| Jun 29, 2024 | 3.06% |
| Mar 30, 2024 | 3.76% |
| Dec 30, 2023 | -2.31% |
| Sep 30, 2023 | 0.80% |
| Jun 30, 2023 | -2.94% |
| Mar 31, 2023 | 1.62% |
| Dec 31, 2022 | -6.13% |
| Sep 30, 2022 | -9.16% |
| Jun 30, 2022 | 2.45% |
| Mar 31, 2022 | -30.36% |
| Dec 31, 2021 | -3.39% |
| Sep 30, 2021 | 5.19% |
| Jun 30, 2021 | 3.32% |
Magnera Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=MAGN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=MAGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();