Tilly'S (TLYS) Change in Inventory (2011 - 2026)
Tilly'S (TLYS) posted Change in Inventory of $9.46 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 67.2% from $5.66 million a year earlier and up 5.0% from the prior quarter.
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Analysis
Tilly'S (TLYS) Change in Inventory (2011 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Change in Inventory at Tilly'S was -$1.07 million; for FY2026 (ended Jan 31, 2026), it was -$7.49 million.
- In prior fiscal years, Tilly'S's Change in Inventory was $6.02 million in FY2025 (+477.6%), $1.04 million in FY2024, -$3.51 million in FY2023 and $10.06 million in FY2022.
- The fiscal Q2 2027 figure stands as the highest quarterly Change in Inventory since fiscal Q2 2025.
- On a year-over-year basis, Change in Inventory increased in two of the last four quarters, with an average decline of 4.1%.
- The strongest year-over-year quarter for Change in Inventory in the past five years was fiscal Q1 2024, with growth of 77.9%; the weakest was fiscal Q2 2026, with a decline of 65.9%.
- According to Business Quant data, Change in Inventory for the three prior fiscal quarters was $9.01 million (Q1 2027), -$18.96 million (Q4 2026) and -$574,000 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 1.82 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | -604.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 221.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | -709.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 110.41 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 932.00 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 160.24 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 586.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 104.14 Mn |
| 10 | Tilly'S | 140.37 Mn | -48.30 Mn | 58.10 Mn | 9.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 9.46 Mn |
| May 2, 2026 | 9.01 Mn |
| Jan 31, 2026 | -18.96 Mn |
| Nov 1, 2025 | -574,000.00 |
| Aug 2, 2025 | 5.66 Mn |
| May 3, 2025 | 6.39 Mn |
| Feb 1, 2025 | -23.30 Mn |
| Nov 2, 2024 | -2.66 Mn |
| Aug 3, 2024 | 16.61 Mn |
| May 4, 2024 | 15.38 Mn |
| Feb 3, 2024 | -19.59 Mn |
| Oct 28, 2023 | -8.50 Mn |
| Jul 29, 2023 | 14.07 Mn |
| Apr 29, 2023 | 15.07 Mn |
| Jan 28, 2023 | -19.45 Mn |
| Oct 29, 2022 | -7.71 Mn |
| Jul 30, 2022 | 15.18 Mn |
| Apr 30, 2022 | 8.47 Mn |
| Jan 29, 2022 | -21.05 Mn |
| Oct 30, 2021 | -161,000.00 |
API Access
Tilly'S Change in 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=change-in-inventory&ticker=TLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-inventory&ticker=TLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();