Magnera (MAGN) Price to Earnings (2011 - 2024)
Magnera's Price to Earnings was 51.60 in fiscal Q2 2024 (quarter ended Jun 29, 2024).
Analysis
Magnera (MAGN) Price to Earnings (2011 - 2024) Analysis & Trends
For FY2021 (ended Dec 31, 2021), Price to Earnings at Magnera came in at 110.45, up 223.7% from FY2020.
- In earlier fiscal years, Price to Earnings was 34.12 in FY2020 and 118.15 in FY2017 (+144.8%).
- The fiscal Q2 2024 figure marks the highest quarterly Price to Earnings since fiscal Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn |
| 10 | Magnera | 417.43 Mn | -734.57 Mn | 112.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 29, 2024 | 111.86 |
| Dec 31, 2021 | 110.45 |
| Sep 30, 2021 | 23.16 |
| Jun 30, 2021 | 23.82 |
| Mar 31, 2021 | 34.21 |
| Dec 31, 2020 | 34.12 |
| Jun 30, 2018 | 2,507.60 |
| Mar 31, 2018 | 442.57 |
| Dec 31, 2017 | 118.15 |
| Sep 30, 2017 | 467.32 |
| Jun 30, 2017 | 91.47 |
| Mar 31, 2017 | 55.74 |
| Dec 31, 2016 | 48.27 |
| Sep 30, 2016 | 13.11 |
| Jun 30, 2016 | 12.92 |
| Mar 31, 2016 | 13.50 |
| Dec 31, 2015 | 12.40 |
| Sep 30, 2015 | 15.00 |
| Jun 30, 2015 | 14.29 |
| Mar 31, 2015 | 17.37 |
API Access
Magnera Price to Earnings 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=price-to-earnings&ticker=MAGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=MAGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();