Tilly'S (TLYS) Inventory (2012 - 2026)
Tilly'S's Inventory was $80.16 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 1.3% from $81.23 million a year earlier but up 13.4% from the prior quarter.
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Analysis
Tilly'S (TLYS) Inventory (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Inventory at Tilly'S came in at $61.69 million, down 10.8% from FY2025.
- Inventory shows a five-year compound annual growth rate of 2.1% (FY2021 to FY2026).
- In earlier fiscal years, Inventory was $69.18 million in FY2025 (+9.5%), $63.16 million in FY2024 (+1.7%), $62.12 million in FY2023 (-5.4%) and $65.65 million in FY2022 (+17.9%).
- Quarterly Inventory has moved between $61.69 million (fiscal Q4 2026) and $95.01 million (fiscal Q2 2025) over five years.
- Compared with a year earlier, Inventory has declined for six straight quarters, with an average decline of 3.5% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was fiscal Q3 2022 (growth of 31.5%); the worst was fiscal Q2 2026 (a decline of 14.5%).
- Per Business Quant data, TLYS's Inventory in the three fiscal quarters before Q2 2027 was $70.7 million (Q1 2027), $61.69 million (Q4 2026) and $80.66 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 38.18 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 26.85 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 7.86 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 17.74 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 3.09 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 13.25 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 5.97 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 3.26 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | - |
| 10 | Tilly'S | 144.91 Mn | -43.76 Mn | 58.10 Mn | 80.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 80.16 Mn |
| May 2, 2026 | 70.70 Mn |
| Jan 31, 2026 | 61.69 Mn |
| Nov 1, 2025 | 80.66 Mn |
| Aug 2, 2025 | 81.23 Mn |
| May 3, 2025 | 75.57 Mn |
| Feb 1, 2025 | 69.18 Mn |
| Nov 2, 2024 | 92.48 Mn |
| Aug 3, 2024 | 95.01 Mn |
| May 4, 2024 | 78.54 Mn |
| Feb 3, 2024 | 63.16 Mn |
| Oct 28, 2023 | 82.75 Mn |
| Jul 29, 2023 | 91.25 Mn |
| Apr 29, 2023 | 77.18 Mn |
| Jan 28, 2023 | 62.12 Mn |
| Oct 29, 2022 | 81.59 Mn |
| Jul 30, 2022 | 89.30 Mn |
| Apr 30, 2022 | 74.11 Mn |
| Jan 29, 2022 | 65.65 Mn |
| Oct 30, 2021 | 86.69 Mn |
API Access
Tilly'S Inventory 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=inventory&ticker=TLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=TLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();