Magnera (MAGN) EV to EBITDA (2011 - 2026)
Magnera's EV to EBITDA was 0.57 in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 31.8% from 0.44 a year earlier.
Magnera (MAGN) EV to EBITDA (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Magnera's EV to EBITDA was -2.40 through Jun 27, 2026; for FY2025 (ended Sep 27, 2025), it was 0.34, down 94.5% from FY2024.
- In earlier fiscal years, EV to EBITDA was 6.12 in FY2024, 0.56 in FY2023 and 6.97 in FY2021 (+17.6%).
- Quarterly EV to EBITDA has moved between 0.05 (fiscal Q2 2026) and 38.56 (fiscal Q2 2023) over five years.
- Per Business Quant data, MAGN's EV to EBITDA in the three fiscal quarters before Q3 2026 was 0.05 (Q2 2026), 0.96 (Q1 2026) and 0.34 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn |
| 10 | Magnera | 406.69 Mn | -745.31 Mn | 112.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 0.57 |
| Mar 28, 2026 | 0.05 |
| Dec 27, 2025 | 0.96 |
| Sep 27, 2025 | 0.34 |
| Jun 28, 2025 | 0.63 |
| Mar 29, 2025 | 1.65 |
| Dec 28, 2024 | 2.60 |
| Jun 29, 2024 | 4.53 |
| Dec 30, 2023 | 10.33 |
| Sep 30, 2023 | 0.96 |
| Jun 30, 2023 | 38.56 |
| Mar 31, 2023 | 2.48 |
| Dec 31, 2021 | 6.97 |
| Sep 30, 2021 | 4.75 |
| Jun 30, 2021 | 4.95 |
| Mar 31, 2021 | 6.19 |
| Dec 31, 2020 | 5.93 |
| Sep 30, 2020 | 5.27 |
| Jun 30, 2020 | 6.10 |
| Mar 31, 2020 | 4.02 |
Magnera EV to EBITDA 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=ev-to-ebitda&ticker=MAGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=MAGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();