Somnigroup International (SGI) EBITDA (2009 - 2026)
Somnigroup International (SGI) posted EBITDA of $265.7 million for Q2 2026, up 10.7% from $240.1 million a year earlier and up 6.4% from the prior quarter.
Somnigroup International (SGI) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Somnigroup International was $1.21 billion, up 66.3% year-over-year; for FY2025, it was $1.01 billion, up 25.8% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- In prior years, Somnigroup International's EBITDA was $803.6 million in FY2024 (+7.7%), $746.4 million in FY2023 (-8.0%), $811.6 million in FY2022 (-21.1%) and $1.03 billion in FY2021 (+62.4%).
- Quarterly EBITDA has run from a low of $72.6 million in Q1 2025 to a high of $380.1 million in Q3 2025 over five years.
- On a year-over-year basis, EBITDA has increased in each of the last five quarters, with growth averaging 46.2% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q1 2026, with growth of 243.9%; the weakest was Q1 2025, with a decline of 57.7%.
- According to Business Quant data, EBITDA for the three prior quarters was $249.7 million (Q1 2026), $318.3 million (Q4 2025) and $380.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 31.69 Bn | 29.13 Bn | 1.17 Bn | 483.80 Mn |
| 2 | Somnigroup International | 13.47 Bn | 13.01 Bn | 817.20 Mn | 265.70 Mn |
| 3 | Hni | 3.53 Bn | 3.02 Bn | 678.50 Mn | 207.10 Mn |
| 4 | Newell Brands | 2.47 Bn | 1.61 Bn | 649.00 Mn | 104.00 Mn |
| 5 | Arhaus | 2.10 Bn | 1.18 Bn | 172.07 Mn | 76.17 Mn |
| 6 | Whirlpool | 2.01 Bn | -1.62 Bn | 473.00 Mn | 109.00 Mn |
| 7 | Sonos | 1.98 Bn | 882.58 Mn | 189.31 Mn | 42.60 Mn |
| 8 | Cricut | 1.78 Bn | 692.26 Mn | 108.88 Mn | 40.33 Mn |
| 9 | Millerknoll | 1.50 Bn | 796.73 Mn | 385.30 Mn | 86.90 Mn |
| 10 | Corsair Gaming | 1.29 Bn | 750.34 Mn | 97.83 Mn | 11.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 265.70 Mn |
| Mar 31, 2026 | 249.70 Mn |
| Dec 31, 2025 | 318.30 Mn |
| Sep 30, 2025 | 380.10 Mn |
| Jun 30, 2025 | 240.10 Mn |
| Mar 31, 2025 | 72.60 Mn |
| Dec 31, 2024 | 172.30 Mn |
| Sep 30, 2024 | 244.90 Mn |
| Jun 30, 2024 | 214.80 Mn |
| Mar 31, 2024 | 171.60 Mn |
| Dec 31, 2023 | 158.60 Mn |
| Sep 30, 2023 | 217.40 Mn |
| Jun 30, 2023 | 192.30 Mn |
| Mar 31, 2023 | 178.10 Mn |
| Dec 31, 2022 | 181.90 Mn |
| Sep 30, 2022 | 234.00 Mn |
| Jun 30, 2022 | 175.70 Mn |
| Mar 31, 2022 | 220.00 Mn |
| Dec 31, 2021 | 282.40 Mn |
| Sep 30, 2021 | 279.50 Mn |
Somnigroup International EBITDA 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=ebitda&ticker=SGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "SGI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=SGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();