Sleep Number (SNBRQ) Price to Earnings (2011 - 2023)
Sleep Number's (SNBRQ) Price to Earnings was 122.25 for Q3 2023, compared with 6.31 a year earlier and up 138.5% from the prior quarter.
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Analysis
Sleep Number (SNBRQ) Price to Earnings (2011 - 2023) Analysis & Trends
For FY2022, Price to Earnings at Sleep Number was 15.62, up 38.2% from FY2021.
- By year, Price to Earnings came in at 11.30 in FY2021, 16.94 in FY2019 (+18.8%) and 14.26 in FY2018 (-36.4%).
- The Q3 2023 figure ranks as the highest quarterly Price to Earnings in data going back to Q4 2011.
- Per Business Quant data, the three quarters before Q3 2023 came in at 51.26 (Q2 2023), 14.67 (Q1 2023) and 15.62 (Q4 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 | Sleep Number | 460,979.99 | -5.33 Mn | 184.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 122.25 |
| Jul 1, 2023 | 51.26 |
| Apr 1, 2023 | 14.67 |
| Dec 31, 2022 | 15.62 |
| Oct 1, 2022 | 6.31 |
| Jul 2, 2022 | 4.11 |
| Apr 2, 2022 | 7.33 |
| Jan 1, 2022 | 7.95 |
| Oct 2, 2021 | 11.04 |
| Jul 3, 2021 | 20.23 |
| Apr 3, 2021 | 24.05 |
| Sep 26, 2020 | 12.97 |
| Jun 27, 2020 | 14.53 |
| Mar 28, 2020 | 6.54 |
| Dec 28, 2019 | 16.94 |
| Sep 28, 2019 | 13.31 |
| Jun 29, 2019 | 15.80 |
| Mar 30, 2019 | 19.08 |
| Dec 29, 2018 | 14.26 |
| Sep 29, 2018 | 20.94 |
API Access
Sleep Number 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=SNBRQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "SNBRQ", "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=SNBRQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();