Tilly'S (TLYS) Cash & Equivalents (2011 - 2026)
Tilly'S's Cash & Equivalents was $52.33 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 3.3% from $50.68 million a year earlier and up 67.5% from the prior quarter.
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Analysis
Tilly'S (TLYS) Cash & Equivalents (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Cash & Equivalents at Tilly'S came in at $46.31 million, up 120.0% from FY2025.
- Cash & Equivalents shows a five-year compound annual growth rate of -9.5% (FY2021 to FY2026).
- In earlier fiscal years, Cash & Equivalents was $21.06 million in FY2025 (-55.2%), $47.03 million in FY2024 (-36.0%), $73.53 million in FY2023 (+74.2%) and $42.2 million in FY2022 (-44.6%).
- The fiscal Q2 2027 figure marks the highest quarterly Cash & Equivalents since fiscal Q2 2024.
- Compared with a year earlier, Cash & Equivalents has increased for six straight quarters, with growth averaging 20.6% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q4 2026 (growth of 120.0%); the worst was fiscal Q4 2025 (a decline of 55.2%).
- Per Business Quant data, TLYS's Cash & Equivalents in the three fiscal quarters before Q2 2027 was $31.24 million (Q1 2027), $46.31 million (Q4 2026) and $39.04 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.29 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | - |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 2.63 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 262.18 Mn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 253.73 Mn |
| 10 | Tilly'S | 138.56 Mn | -50.11 Mn | 58.10 Mn | 52.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 52.33 Mn |
| May 2, 2026 | 31.24 Mn |
| Jan 31, 2026 | 46.31 Mn |
| Nov 1, 2025 | 39.04 Mn |
| Aug 2, 2025 | 50.68 Mn |
| May 3, 2025 | 27.23 Mn |
| Feb 1, 2025 | 21.06 Mn |
| Nov 2, 2024 | 26.41 Mn |
| Aug 3, 2024 | 36.75 Mn |
| May 4, 2024 | 19.88 Mn |
| Feb 3, 2024 | 47.03 Mn |
| Oct 28, 2023 | 44.43 Mn |
| Jul 29, 2023 | 54.58 Mn |
| Apr 29, 2023 | 43.69 Mn |
| Jan 28, 2023 | 73.53 Mn |
| Oct 29, 2022 | 75.79 Mn |
| Jul 30, 2022 | 85.51 Mn |
| Apr 30, 2022 | 59.95 Mn |
| Jan 29, 2022 | 42.20 Mn |
| Oct 30, 2021 | 59.39 Mn |
API Access
Tilly'S Cash & Equivalents 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=cash-and-equivalents&ticker=TLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=TLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();