Floor & Decor Holdings (FND) Return on Sales [ROS] (2016 - 2026)
Floor & Decor Holdings' Return on Sales [ROS] came in at 9.92% for Q2 2026, up 3.17 percentage points from 6.74% a year earlier and up 5.37 percentage points from the prior quarter.
Floor & Decor Holdings (FND) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 25, 2026, Floor & Decor Holdings reported Return on Sales [ROS] of 6.37%, up 0.47 percentage points year-over-year; for FY2025, it was 5.77%, up 0.02 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -3.08 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 5.75% in FY2024 (-1.53 pp), 7.28% in FY2023 (-2.02 pp), 9.30% in FY2022 (-0.57 pp) and 9.87% in FY2021 (+1.03 pp).
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] since Q2 2021.
- Year-over-year, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +0.18 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2026 (a gain of 3.17 percentage points), and the weakest in Q4 2023 (a drop of 4.63 percentage points).
- Business Quant data shows FND's Return on Sales [ROS] at 4.55% (Q1 2026), 4.60% (Q4 2025) and 6.11% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn | 17.62% |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 9.65% |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn | 20.15% |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn | 9.22% |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn | 19.08% |
| 10 | Floor & Decor Holdings | 4.92 Bn | 3.85 Bn | 603.12 Mn | 9.92% |
Historic Data
| Date | Value |
|---|---|
| Jun 25, 2026 | 9.92% |
| Mar 26, 2026 | 4.55% |
| Dec 25, 2025 | 4.60% |
| Sep 25, 2025 | 6.11% |
| Jun 26, 2025 | 6.74% |
| Mar 27, 2025 | 5.53% |
| Dec 26, 2024 | 5.35% |
| Sep 26, 2024 | 5.93% |
| Jun 27, 2024 | 6.29% |
| Mar 28, 2024 | 5.41% |
| Dec 28, 2023 | 4.40% |
| Sep 28, 2023 | 7.65% |
| Jun 29, 2023 | 8.36% |
| Mar 30, 2023 | 8.51% |
| Dec 29, 2022 | 9.04% |
| Sep 29, 2022 | 9.26% |
| Jun 30, 2022 | 9.76% |
| Mar 31, 2022 | 9.13% |
| Dec 30, 2021 | 6.68% |
| Sep 30, 2021 | 9.51% |
Floor & Decor Holdings 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=FND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FND", "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=FND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();