Tilly'S (TLYS) Shares Outstanding (2011 - 2026)
Tilly'S's Shares Outstanding was 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.
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Analysis
Tilly'S (TLYS) Shares Outstanding (2011 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Shares Outstanding at Tilly'S came in at 30.1 million, up 0.2% from FY2025.
- Shares Outstanding shows a five-year compound annual growth rate of 0.3% (FY2021 to FY2026).
- In earlier fiscal years, Shares Outstanding was 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 marks the highest quarterly Shares Outstanding since fiscal Q1 2023.
- Compared with a year earlier, Shares Outstanding has increased for ten straight quarters, with growth averaging 0.4% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding over five years was fiscal Q3 2022 (growth of 4.1%); the worst was fiscal Q3 2023 (a decline of 3.3%).
- Per Business Quant data, TLYS's Shares Outstanding in the three fiscal quarters before Q2 2027 was 30.12 million (Q1 2027), 30.1 million (Q4 2026) and 30.12 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 10.77 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 994.00 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 | 559.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 317.69 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 454.40 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 825.20 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 717.69 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 16.47 Mn |
| 10 | Tilly'S | 140.37 Mn | -48.30 Mn | 58.10 Mn | 30.25 Mn |
Historic Data
Download Data
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 |
API Access
Tilly'S Shares Outstanding 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&ticker=TLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=TLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();