Tilly'S (TLYS) Total Liabilities (2012 - 2026)
Tilly'S (TLYS) posted Total Liabilities of $260.23 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 1.1% from $263.03 million a year earlier but up 8.7% from the prior quarter.
Powered by 
Analysis
Tilly'S (TLYS) Total Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Tilly'S's Total Liabilities came in at $225.62 million, down 6.6% from FY2025.
- Annual Total Liabilities has declined for six consecutive fiscal years, with a five-year compound annual growth rate of -8.2% (FY2021 to FY2026).
- In prior fiscal years, Tilly'S's Total Liabilities was $241.59 million in FY2025 (-15.1%), $284.68 million in FY2024 (-4.8%), $298.95 million in FY2023 (-9.4%) and $330.11 million in FY2022 (-4.8%).
- Quarterly Total Liabilities has run from a low of $225.62 million in fiscal Q4 2026 to a high of $357.6 million in fiscal Q3 2022 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last 19 quarters, with an average decline of 9.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q3 2022, with growth of 0.1%; the weakest was fiscal Q4 2025, with a decline of 15.1%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $239.36 million (Q1 2027), $225.62 million (Q4 2026) and $235.46 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 9.24 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 43.39 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 19.22 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 9.41 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 23.70 Bn |
| 10 | Tilly'S | 144.91 Mn | -43.76 Mn | 58.10 Mn | 260.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 260.23 Mn |
| May 2, 2026 | 239.36 Mn |
| Jan 31, 2026 | 225.62 Mn |
| Nov 1, 2025 | 235.46 Mn |
| Aug 2, 2025 | 263.03 Mn |
| May 3, 2025 | 255.04 Mn |
| Feb 1, 2025 | 241.59 Mn |
| Nov 2, 2024 | 272.96 Mn |
| Aug 3, 2024 | 302.42 Mn |
| May 4, 2024 | 284.01 Mn |
| Feb 3, 2024 | 284.68 Mn |
| Oct 28, 2023 | 311.12 Mn |
| Jul 29, 2023 | 338.37 Mn |
| Apr 29, 2023 | 307.66 Mn |
| Jan 28, 2023 | 298.95 Mn |
| Oct 29, 2022 | 324.91 Mn |
| Jul 30, 2022 | 345.92 Mn |
| Apr 30, 2022 | 317.72 Mn |
| Jan 29, 2022 | 330.11 Mn |
| Oct 30, 2021 | 357.60 Mn |
API Access
Tilly'S Total Liabilities 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=total-liabilities&ticker=TLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();