Tilly'S (TLYS) Shares Outstanding (Entity) (2011 - 2026)
Tilly'S (TLYS) recorded Shares Outstanding (Entity) of 30.25 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 0.5% from 30.09 million a year earlier and up 0.4% from the prior quarter.
Tilly'S (TLYS) Shares Outstanding (Entity) (2011 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Tilly'S reported Shares Outstanding (Entity) of 30.1 million, up 0.2% from FY2025.
- Annual Shares Outstanding (Entity) has a five-year compound annual growth rate of 0.3% (FY2021 to FY2026).
- Across earlier fiscal years, Shares Outstanding (Entity) came in at 30.03 million in FY2025 (+0.6%), 29.85 million in FY2024 (-0.9%), 30.12 million in FY2023 (-1.5%) and 30.56 million in FY2022 (+2.9%).
- The fiscal Q2 2027 figure is the highest quarterly Shares Outstanding (Entity) since fiscal Q1 2023.
- On a year-over-year basis, Shares Outstanding (Entity) has increased for ten consecutive quarters, with growth averaging 0.4% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding (Entity) in the last five years was growth of 4.1% in fiscal Q3 2022, against a decline of 3.3% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 30.12 million (Q1 2027), 30.1 million (Q4 2026) and 30.12 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 10.78 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 998.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.10 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 561.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 319.67 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 454.29 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 816.17 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 1.10 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 16.33 Mn |
| 10 | Tilly'S | 140.37 Mn | -48.30 Mn | 58.10 Mn | 30.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 30.25 Mn |
| May 2, 2026 | 30.12 Mn |
| Jan 31, 2026 | 30.10 Mn |
| Nov 1, 2025 | 30.12 Mn |
| Aug 2, 2025 | 30.09 Mn |
| May 3, 2025 | 30.06 Mn |
| Feb 1, 2025 | 30.03 Mn |
| Nov 2, 2024 | 30.06 Mn |
| Aug 3, 2024 | 30.03 Mn |
| May 4, 2024 | 29.96 Mn |
| Feb 3, 2024 | 29.85 Mn |
| Oct 28, 2023 | 29.87 Mn |
| Jul 29, 2023 | 29.83 Mn |
| Apr 29, 2023 | 29.80 Mn |
| Jan 28, 2023 | 30.12 Mn |
| Oct 29, 2022 | 29.89 Mn |
| Jul 30, 2022 | 30.02 Mn |
| Apr 30, 2022 | 30.76 Mn |
| Jan 29, 2022 | 30.56 Mn |
| Oct 30, 2021 | 30.92 Mn |
Tilly'S Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=TLYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=TLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();