Newell Brands (NWL) Price to Earnings (2010 - 2022)
Newell Brands' Price to Earnings was 27.46 in Q4 2022, up 83.8% from 14.94 a year earlier and up 160.0% from the prior quarter.
Analysis
Newell Brands (NWL) Price to Earnings (2010 - 2022) Analysis & Trends
From Q1 2010 onward, Newell Brands has reported Price to Earnings for 43 quarters.
- In earlier years, Price to Earnings was 14.94 in FY2021 and 76.07 in FY2019.
- The Q4 2022 figure marks the highest quarterly Price to Earnings since Q4 2019.
- Compared with a year earlier, Price to Earnings was higher in 1 of the last four quarters, with an average decline of 3.2%.
- Per Business Quant data, NWL's Price to Earnings in the three quarters before Q4 2022 was 10.56 (Q3 2022), 10.64 (Q2 2022) and 11.69 (Q1 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 25.73 Bn | 23.40 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.04 Bn | 12.59 Bn | 817.20 Mn |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.30 Bn | 1.46 Bn | 812.00 Mn |
| 5 | Sonos | 2.09 Bn | 992.71 Mn | 189.31 Mn |
| 6 | Whirlpool | 1.97 Bn | -1.51 Bn | 442.00 Mn |
| 7 | Corsair Gaming | 1.49 Bn | 1.04 Bn | 104.29 Mn |
| 8 | Arhaus | 1.45 Bn | 529.52 Mn | 172.07 Mn |
| 9 | Millerknoll | 1.39 Bn | 754.60 Mn | 385.30 Mn |
| 10 | Cricut | 1.37 Bn | 340.40 Mn | 116.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 27.46 |
| Sep 30, 2022 | 10.56 |
| Jun 30, 2022 | 10.64 |
| Mar 31, 2022 | 11.69 |
| Dec 31, 2021 | 14.94 |
| Sep 30, 2021 | 14.38 |
| Jun 30, 2021 | 15.71 |
| Mar 31, 2021 | 18.79 |
| Dec 31, 2019 | 76.07 |
| Jun 30, 2018 | 5.88 |
| Mar 31, 2018 | 5.72 |
| Dec 31, 2017 | 5.45 |
| Sep 30, 2017 | 16.58 |
| Jun 30, 2017 | 21.65 |
| Mar 31, 2017 | 20.24 |
| Dec 31, 2016 | 40.81 |
| Sep 30, 2016 | 67.67 |
| Jun 30, 2016 | 72.49 |
| Mar 31, 2016 | 35.31 |
| Dec 31, 2015 | 33.65 |
API Access
Newell Brands 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=NWL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "NWL", "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=NWL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();