Zumiez (ZUMZ) Change in Accured Expenses (2010 - 2026)
Zumiez (ZUMZ) posted Change in Accured Expenses of $2.77 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 42.3% from $4.79 million a year earlier.
Zumiez (ZUMZ) Change in Accured Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Change in Accured Expenses at Zumiez was -$1.22 million; for FY2026 (ended Jan 31, 2026), it came in at $5.48 million, up 45.4% from FY2025.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of 7.4% (FY2021 to FY2026).
- In prior fiscal years, Zumiez's Change in Accured Expenses was $3.77 million in FY2025 (+73.6%), $2.17 million in FY2024, -$14.9 million in FY2023 and $3.65 million in FY2022 (-5.0%).
- Quarterly Change in Accured Expenses has run from a low of -$25.65 million in fiscal Q2 2023 to a high of $11.7 million in fiscal Q1 2023 over five years.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was fiscal Q4 2026, with growth of 91.6%; the weakest was fiscal Q1 2024, with a decline of 82.2%.
- According to Business Quant data, Change in Accured Expenses for the three prior fiscal quarters was -$10.54 million (Q1 2027), $6.18 million (Q4 2026) and $365,000 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | -2.02 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | - |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 595.00 Mn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 199.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | - |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 111.71 Mn |
| 10 | Zumiez | 210.70 Mn | -275.82 Mn | 73.85 Mn | 2.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 2.77 Mn |
| May 2, 2026 | -10.54 Mn |
| Jan 31, 2026 | 6.18 Mn |
| Nov 1, 2025 | 365,000.00 |
| Aug 2, 2025 | 4.79 Mn |
| May 3, 2025 | -5.86 Mn |
| Feb 1, 2025 | 3.23 Mn |
| Nov 2, 2024 | -1.56 Mn |
| Aug 3, 2024 | 3.56 Mn |
| May 4, 2024 | -1.46 Mn |
| Feb 3, 2024 | -514,000.00 |
| Oct 28, 2023 | 4.36 Mn |
| Jul 29, 2023 | -3.76 Mn |
| Apr 29, 2023 | 2.09 Mn |
| Jan 28, 2023 | -4.70 Mn |
| Oct 29, 2022 | 3.77 Mn |
| Jul 30, 2022 | -25.65 Mn |
| Apr 30, 2022 | 11.70 Mn |
| Jan 29, 2022 | 4.00 Mn |
| Oct 30, 2021 | 4.11 Mn |
Zumiez Change in Accured Expenses 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-accured-expenses&ticker=ZUMZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "ZUMZ", "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-accured-expenses&ticker=ZUMZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();