Tilly'S (TLYS) Market Capitalization (2012 - 2026)
Tilly'S's Market Capitalization was $115.26 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 125.3% from $51.15 million a year earlier but down 13.0% from the prior quarter.
Tilly'S (TLYS) Market Capitalization (2012 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Market Capitalization at Tilly'S came in at $44.24 million, down 66.0% from FY2025.
- Market Capitalization has now declined for four consecutive fiscal years, with a five-year compound annual growth rate of -31.4% (FY2021 to FY2026).
- In earlier fiscal years, Market Capitalization was $130.02 million in FY2025 (-42.1%), $224.46 million in FY2024 (-14.3%), $262 million in FY2023 (-32.7%) and $389.33 million in FY2022 (+33.8%).
- Quarterly Market Capitalization has moved between $44.24 million (fiscal Q4 2026) and $429.1 million (fiscal Q3 2022) over five years.
- Compared with a year earlier, Market Capitalization was higher in two of the last eight quarters, with an average decline of 5.3%.
- The best year-over-year quarter for Market Capitalization over five years was fiscal Q1 2027 (growth of 193.9%); the worst was fiscal Q1 2026 (a decline of 74.8%).
- Per Business Quant data, TLYS's Market Capitalization in the three fiscal quarters before Q2 2027 was $132.52 million (Q1 2027), $44.24 million (Q4 2026) and $46.08 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | Tilly'S | 140.37 Mn | -48.30 Mn | 58.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 115.26 Mn |
| May 2, 2026 | 132.52 Mn |
| Jan 31, 2026 | 44.24 Mn |
| Nov 1, 2025 | 46.08 Mn |
| Aug 2, 2025 | 51.15 Mn |
| May 3, 2025 | 45.09 Mn |
| Feb 1, 2025 | 130.02 Mn |
| Nov 2, 2024 | 118.44 Mn |
| Aug 3, 2024 | 157.65 Mn |
| May 4, 2024 | 178.87 Mn |
| Feb 3, 2024 | 224.46 Mn |
| Oct 28, 2023 | 235.99 Mn |
| Jul 29, 2023 | 255.35 Mn |
| Apr 29, 2023 | 223.78 Mn |
| Jan 28, 2023 | 262.00 Mn |
| Oct 29, 2022 | 264.56 Mn |
| Jul 30, 2022 | 227.26 Mn |
| Apr 30, 2022 | 271.32 Mn |
| Jan 29, 2022 | 389.33 Mn |
| Oct 30, 2021 | 429.10 Mn |
Tilly'S Market Capitalization 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=market-capitalization&ticker=TLYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=TLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();