Dollar Tree (DLTR) Return on Sales [ROS] (2009 - 2026)
Dollar Tree's Return on Sales [ROS] was 14.11% in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 9.05 percentage points from 5.05% a year earlier and up 4.60 percentage points from the prior quarter.
Dollar Tree (DLTR) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dollar Tree's Return on Sales [ROS] was 10.97% through Aug 1, 2026, up 2.99 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at 8.52%, up 0.20 percentage points from FY2025.
- Return on Sales [ROS] shows a five-year change of +1.12 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] was 8.32% in FY2025 (-2.26 pp), 10.57% in FY2024 (-3.05 pp), 13.62% in FY2023 (+6.74 pp) and 6.88% in FY2022 (-0.52 pp).
- The fiscal Q2 2027 figure marks the highest quarterly Return on Sales [ROS] since fiscal Q4 2024.
- Compared with a year earlier, Return on Sales [ROS] has increased for three straight quarters, with an average year-over-year change of +0.77 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q2 2027 (a gain of 9.05 percentage points); the worst was fiscal Q4 2025 (a drop of 4.75 percentage points).
- Per Business Quant data, DLTR's Return on Sales [ROS] in the three fiscal quarters before Q2 2027 was 9.51% (Q1 2027), 12.75% (Q4 2026) and 7.23% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 4.99% |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | 3.99% |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 4.44% |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | 2.80% |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 6.81% |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | 8.54% |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | 14.11% |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 4.21% |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 10.29% |
| 10 | Performance Food | 14.65 Bn | 14.43 Bn | 2.17 Bn | 1.80% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 14.11% |
| May 2, 2026 | 9.51% |
| Jan 31, 2026 | 12.75% |
| Nov 1, 2025 | 7.23% |
| Aug 2, 2025 | 5.05% |
| May 3, 2025 | 8.28% |
| Feb 1, 2025 | 10.68% |
| Nov 2, 2024 | 7.62% |
| Aug 3, 2024 | 5.30% |
| May 4, 2024 | 9.16% |
| Feb 3, 2024 | 15.43% |
| Oct 28, 2023 | 7.54% |
| Jul 29, 2023 | 7.43% |
| Apr 29, 2023 | 10.67% |
| Jan 28, 2023 | 13.62% |
| Oct 29, 2022 | 5.49% |
| Jul 30, 2022 | 7.47% |
| Apr 30, 2022 | 10.60% |
| Jan 29, 2022 | 8.17% |
| Oct 30, 2021 | 4.84% |
Dollar Tree 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=DLTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "DLTR", "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=DLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();