Magnera (MAGN) EV to CFO (2011 - 2026)
Magnera's (MAGN) EV to CFO was 0.98 for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 78.5% from 4.55 a year earlier.
Magnera (MAGN) EV to CFO (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Magnera's EV to CFO came in at -4.09; for FY2025 (ended Sep 27, 2025), it was 0.85, down 67.4% from FY2024.
- By fiscal year, EV to CFO came in at 2.61 in FY2024, 0.15 in FY2023 and 8.84 in FY2021 (+53.7%).
- Five-year quarterly EV to CFO spans a low of 0.08 in fiscal Q2 2026 and a high of 51.33 in fiscal Q1 2022.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 0.08 (Q2 2026), 1.70 (Q1 2026) and 0.85 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 235.27 Bn | 218.38 Bn | 4.43 Bn |
| 2 | Corning | 106.79 Bn | 99.92 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 83.92 Bn | 82.96 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 68.64 Bn | 66.53 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 42.22 Bn | 31.84 Bn | 2.04 Bn |
| 6 | Nutrien | 33.30 Bn | 30.16 Bn | 3.25 Bn |
| 7 | Ppg Industries | 25.14 Bn | 17.94 Bn | 1.81 Bn |
| 8 | International Flavors & Fragrances | 23.95 Bn | 21.65 Bn | 853.00 Mn |
| 9 | Dow | 22.98 Bn | 7.98 Bn | 2.17 Bn |
| 10 | Magnera | 425.30 Mn | -726.70 Mn | 112.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 0.98 |
| Mar 28, 2026 | 0.08 |
| Dec 27, 2025 | 1.70 |
| Sep 27, 2025 | 0.85 |
| Jun 28, 2025 | 8.67 |
| Mar 31, 2022 | 51.33 |
| Dec 31, 2021 | 8.84 |
| Sep 30, 2021 | 4.29 |
| Jun 30, 2021 | 4.83 |
| Mar 31, 2021 | 6.22 |
| Dec 31, 2020 | 5.75 |
| Sep 30, 2020 | 4.94 |
| Jun 30, 2020 | 5.24 |
| Mar 31, 2020 | 3.60 |
| Dec 31, 2019 | 6.65 |
| Sep 30, 2019 | 24.09 |
| Sep 30, 2018 | 36.47 |
| Jun 30, 2018 | 1,256.97 |
| Mar 31, 2018 | 20.24 |
| Dec 31, 2017 | 15.38 |
Magnera EV to CFO 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-cfo&ticker=MAGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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-cfo&ticker=MAGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();