Tilly'S (TLYS) Price to Earnings (2012 - 2026)
Tilly'S's (TLYS) Price to Earnings stood at 58.72 in fiscal Q2 2027 (quarter ended Aug 1, 2026).
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Analysis
Tilly'S (TLYS) Price to Earnings (2012 - 2026) Analysis & Trends
For FY2023 (ended Jan 28, 2023), Tilly'S's Price to Earnings came in at 27.07, up 346.8% from FY2022.
- Across earlier fiscal years, Price to Earnings came in at 6.06 in FY2022, 11.10 in FY2020 (-25.6%) and 14.92 in FY2019 (-46.6%).
- The fiscal Q2 2027 figure is the highest quarterly Price to Earnings since fiscal Q2 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn |
| 10 | Tilly'S | 138.56 Mn | -50.11 Mn | 58.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 58.72 |
| Jan 28, 2023 | 27.07 |
| Oct 29, 2022 | 12.11 |
| Jul 30, 2022 | 6.06 |
| Apr 30, 2022 | 5.01 |
| Jan 29, 2022 | 6.06 |
| Oct 30, 2021 | 7.03 |
| Jul 31, 2021 | 10.68 |
| May 1, 2021 | 13.24 |
| Aug 1, 2020 | 335.45 |
| May 2, 2020 | 36.33 |
| Feb 1, 2020 | 11.10 |
| Nov 2, 2019 | 12.25 |
| Aug 3, 2019 | 9.67 |
| May 4, 2019 | 14.57 |
| Feb 2, 2019 | 14.92 |
| Nov 3, 2018 | 21.33 |
| Aug 4, 2018 | 16.99 |
| May 5, 2018 | 20.20 |
| Feb 3, 2018 | 27.96 |
API Access
Tilly'S Price to Earnings 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=price-to-earnings&ticker=TLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=TLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();