Tilly'S (TLYS) Return on Equity [ROE] (2012 - 2026)
Tilly'S's Return on Equity [ROE] was 2.38% in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 58.72 percentage points from -56.34% a year earlier and up 6.38 percentage points from the prior quarter.
Tilly'S (TLYS) Return on Equity [ROE] (2012 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Return on Equity [ROE] at Tilly'S came in at -18.76%, up 18.86 percentage points from FY2025.
- Return on Equity [ROE] shows a five-year change of -18.05 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Equity [ROE] was -37.62% in FY2025 (-16.18 pp), -21.45% in FY2024 (-26.95 pp), 5.51% in FY2023 (-32.81 pp) and 38.32% in FY2022 (+39.03 pp).
- The fiscal Q2 2027 figure marks the highest quarterly Return on Equity [ROE] since fiscal Q4 2023.
- Compared with a year earlier, Return on Equity [ROE] has increased for four straight quarters, with an average year-over-year change of +3.79 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Equity [ROE] over five years was fiscal Q2 2027 (a gain of 58.72 percentage points); the worst was fiscal Q3 2025 (a drop of 35.57 percentage points).
- Per Business Quant data, TLYS's Return on Equity [ROE] in the three fiscal quarters before Q2 2027 was -3.99% (Q1 2027), -20.93% (Q4 2026) and -41.50% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 26.64% |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 93.32% |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 57.63% |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 40.76% |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 25.85% |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | - |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 43.64% |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | - |
| 10 | Tilly'S | 140.37 Mn | -48.30 Mn | 58.10 Mn | 2.38% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 2.38% |
| May 2, 2026 | -3.99% |
| Jan 31, 2026 | -20.93% |
| Nov 1, 2025 | -41.50% |
| Aug 2, 2025 | -56.34% |
| May 3, 2025 | -54.18% |
| Feb 1, 2025 | -42.97% |
| Nov 2, 2024 | -44.07% |
| Aug 3, 2024 | -32.51% |
| May 4, 2024 | -31.12% |
| Feb 3, 2024 | -22.27% |
| Oct 28, 2023 | -8.49% |
| Jul 29, 2023 | -4.84% |
| Apr 29, 2023 | -1.79% |
| Jan 28, 2023 | 5.52% |
| Oct 29, 2022 | 12.58% |
| Jul 30, 2022 | 22.10% |
| Apr 30, 2022 | 31.58% |
| Jan 29, 2022 | 34.98% |
| Oct 30, 2021 | 33.56% |
Tilly'S Return on Equity [ROE] 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-equity-%5Broe%5D&ticker=TLYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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-equity-%5Broe%5D&ticker=TLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();