Tilly'S (TLYS) Operating Leases (2019 - 2026)
Tilly'S's Operating Leases came in at $110.3 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 5.1% from $116.21 million a year earlier and down 4.6% from the prior quarter.
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Analysis
Tilly'S (TLYS) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Tilly'S's Operating Leases was $113.31 million, down 10.2% from FY2025.
- Operating Leases has declined in each of the last six fiscal years, with a five-year compound annual growth rate of -10.7% (FY2021 to FY2026).
- Going back by fiscal year, Operating Leases was $126.22 million in FY2025 (-21.4%), $160.53 million in FY2024 (-4.4%), $167.91 million in FY2023 (-2.4%) and $171.97 million in FY2022 (-13.8%).
- The five-year range for quarterly Operating Leases is $107.84 million (fiscal Q3 2026) to $182.7 million (fiscal Q3 2022).
- Year-over-year, Operating Leases has declined for 12 consecutive quarters, with an average decline of 15.1% over the last eight quarters.
- The fastest year-over-year change in Operating Leases over five years came in fiscal Q2 2024 (growth of 1.4%), and the weakest in fiscal Q4 2025 (a decline of 21.4%).
- Business Quant data shows TLYS's Operating Leases at $115.63 million (Q1 2027), $113.31 million (Q4 2026) and $107.84 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 | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn |
| 10 | Tilly'S | 144.91 Mn | -43.76 Mn | 58.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 110.30 Mn |
| May 2, 2026 | 115.63 Mn |
| Jan 31, 2026 | 113.31 Mn |
| Nov 1, 2025 | 107.84 Mn |
| Aug 2, 2025 | 116.21 Mn |
| May 3, 2025 | 123.45 Mn |
| Feb 1, 2025 | 126.22 Mn |
| Nov 2, 2024 | 135.72 Mn |
| Aug 3, 2024 | 141.57 Mn |
| May 4, 2024 | 151.88 Mn |
| Feb 3, 2024 | 160.53 Mn |
| Oct 28, 2023 | 171.39 Mn |
| Jul 29, 2023 | 176.31 Mn |
| Apr 29, 2023 | 169.79 Mn |
| Jan 28, 2023 | 167.91 Mn |
| Oct 29, 2022 | 176.62 Mn |
| Jul 30, 2022 | 173.92 Mn |
| Apr 30, 2022 | 174.30 Mn |
| Jan 29, 2022 | 171.97 Mn |
| Oct 30, 2021 | 182.70 Mn |
API Access
Tilly'S Operating Leases 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=operating-leases&ticker=TLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=TLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();