Tilly'S (TLYS) Accumulated Expenses (2012 - 2026)
Tilly'S's Accumulated Expenses came in at $22.57 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 16.8% from $19.33 million a year earlier and up 53.4% from the prior quarter.
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Analysis
Tilly'S (TLYS) Accumulated Expenses (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Tilly'S's Accumulated Expenses was $12.1 million, down 5.1% from FY2025.
- Accumulated Expenses has declined in each of the last five fiscal years, with a five-year compound annual growth rate of -17.0% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $12.75 million in FY2025 (-2.4%), $13.06 million in FY2024 (-17.8%), $15.89 million in FY2023 (-16.7%) and $19.07 million in FY2022 (-37.8%).
- The fiscal Q2 2027 figure represents the highest quarterly Accumulated Expenses since fiscal Q2 2023.
- Year-over-year, Accumulated Expenses increased in two of the last eight quarters, with growth averaging 0.9%.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q1 2027 (growth of 19.5%), and the weakest in fiscal Q1 2023 (a decline of 42.5%).
- Business Quant data shows TLYS's Accumulated Expenses at $14.72 million (Q1 2027), $12.1 million (Q4 2026) and $12.53 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn |
| 10 | Tilly'S | 137.35 Mn | -51.32 Mn | 58.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 22.57 Mn |
| May 2, 2026 | 14.72 Mn |
| Jan 31, 2026 | 12.10 Mn |
| Nov 1, 2025 | 12.53 Mn |
| Aug 2, 2025 | 19.33 Mn |
| May 3, 2025 | 12.32 Mn |
| Feb 1, 2025 | 12.75 Mn |
| Nov 2, 2024 | 12.77 Mn |
| Aug 3, 2024 | 20.01 Mn |
| May 4, 2024 | 12.71 Mn |
| Feb 3, 2024 | 13.06 Mn |
| Oct 28, 2023 | 14.69 Mn |
| Jul 29, 2023 | 18.97 Mn |
| Apr 29, 2023 | 14.25 Mn |
| Jan 28, 2023 | 15.89 Mn |
| Oct 29, 2022 | 17.24 Mn |
| Jul 30, 2022 | 23.51 Mn |
| Apr 30, 2022 | 16.74 Mn |
| Jan 29, 2022 | 19.07 Mn |
| Oct 30, 2021 | 20.08 Mn |
API Access
Tilly'S Accumulated Expenses 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=accumulated-expenses&ticker=TLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=TLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();