Tilly'S (TLYS) Return on Assets [ROA] (2012 - 2026)
Tilly'S (TLYS) posted Return on Assets [ROA] of 0.59% for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 13.99 percentage points from -13.40% a year earlier and up 1.63 percentage points from the prior quarter.
Tilly'S (TLYS) Return on Assets [ROA] (2012 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Tilly'S's Return on Assets [ROA] came in at -5.34%, up 6.63 percentage points from FY2025.
- Annual Return on Assets [ROA] shows a five-year change of -5.13 percentage points (FY2021 to FY2026).
- In prior fiscal years, Tilly'S's Return on Assets [ROA] was -11.98% in FY2025 (-4.36 pp), -7.62% in FY2024 (-9.59 pp), 1.97% in FY2023 (-10.72 pp) and 12.69% in FY2022 (+12.91 pp).
- The fiscal Q2 2027 figure stands as the highest quarterly Return on Assets [ROA] since fiscal Q4 2023.
- On a year-over-year basis, Return on Assets [ROA] has increased in each of the last four quarters, with an average year-over-year change of +1.75 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was fiscal Q2 2027, with a gain of 13.99 percentage points; the weakest was fiscal Q1 2024, with a drop of 11.57 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior fiscal quarters was -1.04% (Q1 2027), -5.56% (Q4 2026) and -10.28% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn | 13.15% |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn | 13.10% |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn | 16.56% |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn | 11.99% |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn | 16.86% |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 7.42% |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn | 15.44% |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn | 15.05% |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn | 11.98% |
| 10 | Tilly'S | 137.35 Mn | -51.32 Mn | 58.10 Mn | 0.59% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 0.59% |
| May 2, 2026 | -1.04% |
| Jan 31, 2026 | -5.56% |
| Nov 1, 2025 | -10.28% |
| Aug 2, 2025 | -13.40% |
| May 3, 2025 | -14.41% |
| Feb 1, 2025 | -12.67% |
| Nov 2, 2024 | -13.01% |
| Aug 3, 2024 | -9.79% |
| May 4, 2024 | -10.04% |
| Feb 3, 2024 | -7.62% |
| Oct 28, 2023 | -2.86% |
| Jul 29, 2023 | -1.64% |
| Apr 29, 2023 | -0.64% |
| Jan 28, 2023 | 1.99% |
| Oct 29, 2022 | 4.29% |
| Jul 30, 2022 | 7.48% |
| Apr 30, 2022 | 10.92% |
| Jan 29, 2022 | 12.18% |
| Oct 30, 2021 | 11.25% |
Tilly'S Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=TLYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=TLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();