Tilly'S (TLYS) Shares Outstanding (Diluted) (2011 - 2026)
Tilly'S (TLYS) reported Shares Outstanding (Diluted) of 31.16 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 3.0% from 30.27 million a year earlier and up 3.5% from the prior quarter.
Tilly'S (TLYS) Shares Outstanding (Diluted) (2011 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Tilly'S posted Shares Outstanding (Diluted) of 30.1 million, up 0.2% from FY2025.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of 0.3% (FY2021 to FY2026).
- By fiscal year, Shares Outstanding (Diluted) came in at 30.03 million in FY2025 (+0.6%), 29.85 million in FY2024 (-1.6%), 30.32 million in FY2023 (-2.6%) and 31.12 million in FY2022 (+4.8%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Shares Outstanding (Diluted) since fiscal Q3 2022.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last ten quarters, with growth averaging 0.7% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was fiscal Q3 2022 (growth of 5.2%); the low point was fiscal Q3 2023 (a decline of 4.2%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 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 (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn | 10.90 Bn |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn | 996.00 Mn |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn | 1.12 Bn |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn | 560.00 Mn |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn | 319.45 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 456.60 Mn |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn | 828.88 Mn |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn | 739.96 Mn |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn | 16.85 Mn |
| 10 | Tilly'S | 137.35 Mn | -51.32 Mn | 58.10 Mn | 31.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 31.16 Mn |
| May 2, 2026 | 30.12 Mn |
| Jan 31, 2026 | 30.10 Mn |
| Nov 1, 2025 | 30.12 Mn |
| Aug 2, 2025 | 30.27 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 | 30.32 Mn |
| Oct 29, 2022 | 30.05 Mn |
| Jul 30, 2022 | 30.19 Mn |
| Apr 30, 2022 | 31.05 Mn |
| Jan 29, 2022 | 31.12 Mn |
| Oct 30, 2021 | 31.35 Mn |
Tilly'S Shares Outstanding (Diluted) 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-diluted&ticker=TLYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=TLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();