XMax (XMAX) Return on Sales [ROS] (2010 - 2026)
XMax (XMAX) recorded Return on Sales [ROS] of -44.49% in Q2 2026, down 36.80 percentage points from -7.69% a year earlier and down 14.47 percentage points from the prior quarter.
XMax (XMAX) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, XMax's Return on Sales [ROS] came in at -20.51% as of Jun 30, 2026, up 17.88 percentage points year-over-year; for FY2025, it was -11.53%, up 43.83 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for three straight years, with a five-year change of +220.22 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -55.37% in FY2024 (+2.52 pp), -57.89% in FY2023 (+69.40 pp), -127.29% in FY2022 (-96.54 pp) and -30.75% in FY2021 (+201.01 pp).
- Quarterly Return on Sales [ROS] has ranged from -389.87% in Q4 2022 to 157.03% in Q4 2021 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for three consecutive quarters, with an average year-over-year change of +19.02 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 629.33 percentage points in Q4 2021, against a drop of 546.90 percentage points in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -30.02% (Q1 2026), -59.27% (Q4 2025) and -5.02% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.34 Bn | 23.01 Bn | 860.34 Mn | 10.16% |
| 2 | Somnigroup International | 13.21 Bn | 12.76 Bn | 817.20 Mn | 11.06% |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn | 6.26% |
| 4 | Newell Brands | 2.26 Bn | 1.42 Bn | 812.00 Mn | 14.19% |
| 5 | Sonos | 2.10 Bn | 998.62 Mn | 189.31 Mn | 8.40% |
| 6 | Whirlpool | 1.98 Bn | -1.50 Bn | 442.00 Mn | 4.63% |
| 7 | Corsair Gaming | 1.50 Bn | 1.04 Bn | 104.29 Mn | 2.42% |
| 8 | Arhaus | 1.40 Bn | 477.18 Mn | 172.07 Mn | 14.10% |
| 9 | Millerknoll | 1.39 Bn | 748.41 Mn | 385.30 Mn | 5.61% |
| 10 | XMax | 544.11 Mn | 491.15 Mn | 1.09 Mn | -44.49% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -44.49% |
| Mar 31, 2026 | -30.02% |
| Dec 31, 2025 | -59.27% |
| Sep 30, 2025 | -5.02% |
| Jun 30, 2025 | -7.69% |
| Mar 31, 2025 | -7.34% |
| Dec 31, 2024 | -48.37% |
| Sep 30, 2024 | -92.01% |
| Jun 30, 2024 | -18.51% |
| Mar 31, 2024 | -62.63% |
| Dec 31, 2023 | -167.34% |
| Sep 30, 2023 | -42.44% |
| Jun 30, 2023 | -8.48% |
| Mar 31, 2023 | -63.14% |
| Dec 31, 2022 | -389.87% |
| Sep 30, 2022 | -31.63% |
| Jun 30, 2022 | -149.03% |
| Mar 31, 2022 | -22.50% |
| Dec 31, 2021 | 157.03% |
| Sep 30, 2021 | -39.32% |
XMax Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=XMAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "XMAX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=XMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();