Tilly'S (TLYS) Change in Account Payables (2011 - 2026)
Tilly'S's Change in Account Payables was $13.95 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 40.7% from $9.91 million a year earlier and up 109.7% from the prior quarter.
Tilly'S (TLYS) Change in Account Payables (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Tilly'S's Change in Account Payables was $598,000 through Aug 1, 2026; for FY2026 (ended Jan 31, 2026), it was $10.57 million.
- Change in Account Payables shows a five-year compound annual growth rate of 16.1% (FY2021 to FY2026).
- In earlier fiscal years, Change in Account Payables was -$3.41 million in FY2025, -$1.47 million in FY2024, -$12.19 million in FY2023 and $3.17 million in FY2022 (-36.9%).
- The fiscal Q2 2027 figure marks the highest quarterly Change in Account Payables since fiscal Q1 2026.
- Compared with a year earlier, Change in Account Payables was higher in two of the last four quarters, with growth averaging 24.1%.
- The best year-over-year quarter for Change in Account Payables over five years was fiscal Q1 2026 (growth of 176.2%); the worst was fiscal Q1 2027 (a decline of 67.8%).
- Per Business Quant data, TLYS's Change in Account Payables in the three fiscal quarters before Q2 2027 was $6.65 million (Q1 2027), -$15.53 million (Q4 2026) and -$4.47 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 9.44 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 188.00 Mn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | -899.00 Mn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | -35.81 Mn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 1.17 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | - |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 149.28 Mn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | - |
| 10 | Tilly'S | 138.56 Mn | -50.11 Mn | 58.10 Mn | 13.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 13.95 Mn |
| May 2, 2026 | 6.65 Mn |
| Jan 31, 2026 | -15.53 Mn |
| Nov 1, 2025 | -4.47 Mn |
| Aug 2, 2025 | 9.91 Mn |
| May 3, 2025 | 20.66 Mn |
| Feb 1, 2025 | -21.45 Mn |
| Nov 2, 2024 | -10.39 Mn |
| Aug 3, 2024 | 20.96 Mn |
| May 4, 2024 | 7.48 Mn |
| Feb 3, 2024 | -12.51 Mn |
| Oct 28, 2023 | -17.74 Mn |
| Jul 29, 2023 | 20.00 Mn |
| Apr 29, 2023 | 8.77 Mn |
| Jan 28, 2023 | -14.26 Mn |
| Oct 29, 2022 | -17.71 Mn |
| Jul 30, 2022 | 20.73 Mn |
| Apr 30, 2022 | -955,000.00 |
| Jan 29, 2022 | -18.23 Mn |
| Oct 30, 2021 | -12.68 Mn |
Tilly'S Change in Account Payables 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=change-in-account-payables&ticker=TLYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-account-payables", "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=change-in-account-payables&ticker=TLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();