Movado (MOV) Change in Accured Expenses (2010 - 2026)
Movado (MOV) recorded Change in Accured Expenses of -$5.41 million in fiscal Q4 2026 (quarter ended Jan 31, 2026), compared with -$8.12 million a year earlier.
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Analysis
Movado (MOV) Change in Accured Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Movado reported Change in Accured Expenses of $9.46 million, up 205.0% from FY2025.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of -3.6% (FY2021 to FY2026).
- Across earlier fiscal years, Change in Accured Expenses came in at $3.1 million in FY2025, -$9.92 million in FY2024, -$7.71 million in FY2023 and $7.26 million in FY2022 (-36.0%).
- Quarterly Change in Accured Expenses has ranged from -$27.29 million in fiscal Q4 2023 to $33.3 million in fiscal Q3 2023 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in two of the last four quarters, with growth averaging 58.1%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 258.7% in fiscal Q2 2026, against a decline of 72.9% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -$1.09 million (Q3 2026), $11.8 million (Q2 2026) and $4.15 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | -1.22 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 99.80 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 53.30 Mn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | -4.52 Mn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | - |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | - |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 40.70 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 66.18 Mn |
| 10 | Movado | 1.22 Bn | 411.83 Mn | 100.83 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | -5.41 Mn |
| Oct 31, 2025 | -1.09 Mn |
| Jul 31, 2025 | 11.80 Mn |
| Apr 30, 2025 | 4.15 Mn |
| Jan 31, 2025 | -8.12 Mn |
| Oct 31, 2024 | 5.12 Mn |
| Jul 31, 2024 | 3.29 Mn |
| Apr 30, 2024 | 2.82 Mn |
| Jan 31, 2024 | -22.26 Mn |
| Oct 31, 2023 | 18.87 Mn |
| Jul 31, 2023 | 3.32 Mn |
| Apr 30, 2023 | -9.84 Mn |
| Jan 31, 2023 | -27.29 Mn |
| Oct 31, 2022 | 33.30 Mn |
| Jul 31, 2022 | 3.36 Mn |
| Apr 30, 2022 | -17.07 Mn |
| Jan 31, 2022 | -15.32 Mn |
| Oct 31, 2021 | 26.68 Mn |
| Jul 31, 2021 | 4.13 Mn |
| Apr 30, 2021 | -8.23 Mn |
API Access
Movado 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=MOV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "MOV", "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=MOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();