Zumiez (ZUMZ) Accumulated Expenses (2012 - 2026)
Zumiez's Accumulated Expenses came in at $5.57 million for fiscal Q4 2026 (quarter ended Jan 31, 2026), down 6.1% from $5.94 million a year earlier.
Analysis
Zumiez (ZUMZ) Accumulated Expenses (2012 - 2026) Analysis & Trends
Going back to fiscal Q4 2012, Zumiez's Accumulated Expenses data covers 15 quarters.
- Accumulated Expenses carries a five-year compound annual growth rate of -3.7% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $5.94 million in FY2025 (-16.4%), $7.1 million in FY2024 (+9.2%), $6.5 million in FY2023 (+0.3%) and $6.48 million in FY2022 (-3.5%).
- The fiscal Q4 2026 figure represents the lowest quarterly Accumulated Expenses since fiscal Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 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 |
| 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 |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn |
| 10 | Zumiez | 210.70 Mn | -275.82 Mn | 73.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 5.57 Mn |
| Feb 1, 2025 | 5.94 Mn |
| Feb 3, 2024 | 7.10 Mn |
| Jan 28, 2023 | 6.50 Mn |
| Jan 29, 2022 | 6.48 Mn |
| Jan 30, 2021 | 6.72 Mn |
| Feb 1, 2020 | 4.89 Mn |
| Feb 2, 2019 | 5.63 Mn |
| Feb 3, 2018 | 5.50 Mn |
| Jan 28, 2017 | 4.19 Mn |
| Jan 30, 2016 | 4.49 Mn |
| Jan 31, 2015 | 4.99 Mn |
| Feb 1, 2014 | 7.03 Mn |
| Feb 2, 2013 | 6.36 Mn |
| Jan 28, 2012 | 5.18 Mn |
API Access
Zumiez Accumulated 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=accumulated-expenses&ticker=ZUMZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ZUMZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();