Millerknoll (MLKN) Return on Sales [ROS] (2009 - 2026)
Millerknoll (MLKN) posted Return on Sales [ROS] of 5.61% for fiscal Q1 2027 (quarter ended Aug 29, 2026), up 0.01 percentage points from 5.60% a year earlier and up 0.49 percentage points from the prior quarter.
Millerknoll (MLKN) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 29, 2026, Return on Sales [ROS] at Millerknoll was 5.16%, up 2.80 percentage points year-over-year; for FY2026 (ended May 30, 2026), it came in at 5.16%, up 3.79 percentage points from FY2025.
- Annual Return on Sales [ROS] shows a five-year change of -4.27 percentage points (FY2021 to FY2026).
- In prior fiscal years, Millerknoll's Return on Sales [ROS] was 1.38% in FY2025 (-3.23 pp), 4.61% in FY2024 (+1.62 pp), 2.99% in FY2023 (+1.98 pp) and 1.01% in FY2022 (-8.42 pp).
- The fiscal Q1 2027 figure stands as the highest quarterly Return on Sales [ROS] since fiscal Q4 2025.
- On a year-over-year basis, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +0.62 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was fiscal Q3 2026, with a gain of 14.23 percentage points; the weakest was fiscal Q3 2025, with a drop of 14.29 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior fiscal quarters was 5.12% (Q4 2026), 4.85% (Q3 2026) and 5.08% (Q2 2026).
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 | Cricut | 1.36 Bn | 338.30 Mn | 116.41 Mn | 30.34% |
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 5.61% |
| May 30, 2026 | 5.12% |
| Feb 28, 2026 | 4.85% |
| Nov 29, 2025 | 5.08% |
| Aug 30, 2025 | 5.60% |
| May 31, 2025 | 5.72% |
| Mar 1, 2025 | -9.38% |
| Nov 30, 2024 | 6.44% |
| Aug 31, 2024 | 1.76% |
| Jun 1, 2024 | 2.67% |
| Mar 2, 2024 | 4.91% |
| Dec 2, 2023 | 6.36% |
| Sep 2, 2023 | 4.39% |
| Jun 3, 2023 | 1.21% |
| Mar 4, 2023 | 2.15% |
| Dec 3, 2022 | 3.63% |
| Sep 3, 2022 | 4.71% |
| May 28, 2022 | 5.18% |
| Feb 26, 2022 | 2.84% |
| Nov 27, 2021 | 0.60% |
Millerknoll 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=MLKN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MLKN", "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=MLKN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();