Tilly'S (TLYS) Return on Sales [ROS] (2011 - 2026)
Tilly'S's Return on Sales [ROS] was 5.00% in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 3.23 percentage points from 1.77% a year earlier and up 11.49 percentage points from the prior quarter.
Tilly'S (TLYS) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Tilly'S's Return on Sales [ROS] was 0.13% through Aug 1, 2026, up 8.90 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it was -3.49%, up 5.26 percentage points from FY2025.
- Return on Sales [ROS] shows a five-year change of -2.92 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] was -8.75% in FY2025 (-3.78 pp), -4.97% in FY2024 (-6.64 pp), 1.66% in FY2023 (-9.63 pp) and 11.29% in FY2022 (+11.86 pp).
- The fiscal Q2 2027 figure marks the highest quarterly Return on Sales [ROS] since fiscal Q4 2022.
- Compared with a year earlier, Return on Sales [ROS] has increased for five straight quarters, with an average year-over-year change of +2.96 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q1 2027 (a gain of 14.59 percentage points); the worst was fiscal Q1 2024 (a drop of 14.72 percentage points).
- Per Business Quant data, TLYS's Return on Sales [ROS] in the three fiscal quarters before Q2 2027 was -6.49% (Q1 2027), 1.67% (Q4 2026) and -1.37% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 17.62% |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 9.65% |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 9.22% |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 20.15% |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 19.08% |
| 10 | Tilly'S | 138.56 Mn | -50.11 Mn | 58.10 Mn | 5.00% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 5.00% |
| May 2, 2026 | -6.49% |
| Jan 31, 2026 | 1.67% |
| Nov 1, 2025 | -1.37% |
| Aug 2, 2025 | 1.77% |
| May 3, 2025 | -21.08% |
| Feb 1, 2025 | -9.61% |
| Nov 2, 2024 | -9.80% |
| Aug 3, 2024 | -0.53% |
| May 4, 2024 | -17.94% |
| Feb 3, 2024 | -4.92% |
| Oct 28, 2023 | -1.51% |
| Jul 29, 2023 | -1.68% |
| Apr 29, 2023 | -13.96% |
| Jan 28, 2023 | -0.77% |
| Oct 29, 2022 | 3.55% |
| Jul 30, 2022 | 3.06% |
| Apr 30, 2022 | 0.76% |
| Jan 29, 2022 | 8.46% |
| Oct 30, 2021 | 14.07% |
Tilly'S 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=TLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "TLYS", "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=TLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();