Tilly'S (TLYS) Receivables (2012 - 2026)
Tilly'S's Receivables came in at $12.59 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 20.9% from $10.41 million a year earlier and up 106.8% from the prior quarter.
Tilly'S (TLYS) Receivables (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Tilly'S's Receivables was $9.29 million, up 55.4% from FY2025.
- Receivables carries a five-year compound annual growth rate of -0.5% (FY2021 to FY2026).
- Going back by fiscal year, Receivables was $5.98 million in FY2025 (-12.2%), $6.81 million in FY2024 (-39.5%), $11.26 million in FY2023 (+40.1%) and $8.04 million in FY2022 (-15.7%).
- The fiscal Q2 2027 figure represents the highest quarterly Receivables since fiscal Q2 2025.
- Year-over-year, Receivables has increased for three consecutive quarters, with an average decline of 0.2% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in fiscal Q1 2024 (growth of 58.0%), and the weakest in fiscal Q1 2025 (a decline of 45.0%).
- Business Quant data shows TLYS's Receivables at $6.09 million (Q1 2027), $9.29 million (Q4 2026) and $4.69 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 88.09 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 6.96 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 665.00 Mn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 1.24 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 248.14 Mn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 628.51 Mn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 377.00 Mn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 764.92 Mn |
| 10 | Tilly'S | 144.91 Mn | -43.76 Mn | 58.10 Mn | 12.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 12.59 Mn |
| May 2, 2026 | 6.09 Mn |
| Jan 31, 2026 | 9.29 Mn |
| Nov 1, 2025 | 4.69 Mn |
| Aug 2, 2025 | 10.41 Mn |
| May 3, 2025 | 4.91 Mn |
| Feb 1, 2025 | 5.98 Mn |
| Nov 2, 2024 | 6.14 Mn |
| Aug 3, 2024 | 13.18 Mn |
| May 4, 2024 | 7.14 Mn |
| Feb 3, 2024 | 6.81 Mn |
| Oct 28, 2023 | 7.12 Mn |
| Jul 29, 2023 | 10.92 Mn |
| Apr 29, 2023 | 12.97 Mn |
| Jan 28, 2023 | 11.26 Mn |
| Oct 29, 2022 | 11.35 Mn |
| Jul 30, 2022 | 14.64 Mn |
| Apr 30, 2022 | 8.21 Mn |
| Jan 29, 2022 | 8.04 Mn |
| Oct 30, 2021 | 8.88 Mn |
Tilly'S Receivables 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=receivables&ticker=TLYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=TLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();