Sleep Number (SNBRQ) Restructuring Costs (2023 - 2026)
Sleep Number (SNBRQ) recorded Restructuring Costs of $22 million in Q1 2027, compared with $60,000 a year earlier and down 74.0% from the prior quarter.
Sleep Number (SNBRQ) Restructuring Costs (2023 - 2026) Analysis & Trends
On a TTM basis, Sleep Number's Restructuring Costs came in at $153.98 million as of Apr 4, 2026, up 140.7% year-over-year; for FY2026, it was $19.75 million.
- Annual Restructuring Costs has a three-year compound annual growth rate of 8.0% (FY2023 to FY2026).
- Across earlier years, Restructuring Costs came in at $18.1 million in FY2024 (+15.3%) and $15.7 million in FY2023.
- Quarterly Restructuring Costs has ranged from $60,000 in Q1 2026 to $84.49 million in Q4 2026 over the past five years.
- Per Business Quant, the preceding three quarters came in at $84.49 million (Q4 2026), $39.15 million (Q3 2026) and $8.33 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 25.65 Bn | 23.31 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.10 Bn | 12.65 Bn | 817.20 Mn |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.32 Bn | 1.47 Bn | 812.00 Mn |
| 5 | Sonos | 2.13 Bn | 1.02 Bn | 189.31 Mn |
| 6 | Whirlpool | 2.04 Bn | -1.44 Bn | 442.00 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn |
| 8 | Millerknoll | 1.38 Bn | 756.09 Mn | 395.60 Mn |
| 9 | Arhaus | 1.36 Bn | 443.23 Mn | 172.07 Mn |
| 10 | Sleep Number | 460,979.99 | -5.33 Mn | 184.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 4, 2026 | 22.00 Mn |
| Jan 3, 2026 | 84.49 Mn |
| Sep 27, 2025 | 39.15 Mn |
| Jun 28, 2025 | 8.33 Mn |
| Mar 29, 2025 | 60,000.00 |
| Dec 28, 2024 | 33.80 Mn |
| Sep 28, 2024 | 1.96 Mn |
| Jun 29, 2024 | 1.82 Mn |
| Mar 30, 2024 | 10.60 Mn |
| Dec 30, 2023 | 15.70 Mn |
Sleep Number Restructuring Costs 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=restructuring-costs&ticker=SNBRQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=SNBRQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();