Movado (MOV) Operating Expenses (2010 - 2026)
Movado (MOV) recorded Operating Expenses of $85.95 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 2.9% from $83.56 million a year earlier.
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Analysis
Movado (MOV) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Movado's Operating Expenses came in at $348.66 million as of Jul 31, 2026, up 4.3% year-over-year; for FY2026 (ended Jan 31, 2026), it was $333.77 million, up 0.2% from FY2025.
- Annual Operating Expenses has increased for four straight fiscal years, though with a five-year compound annual growth rate of -4.2% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $333.13 million in FY2025 (+5.5%), $315.69 million in FY2024 (+0.7%), $313.54 million in FY2023 (+4.0%) and $301.57 million in FY2022 (-26.9%).
- Quarterly Operating Expenses has ranged from $70.8 million in fiscal Q1 2025 to $90.6 million in fiscal Q3 2025 over the past five years.
- On a year-over-year basis, Operating Expenses rose in six of the last seven quarters, with growth averaging 3.1%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 21.3% in fiscal Q3 2022, against a decline of 1.7% in fiscal Q3 2023 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.55 Bn | 21.75 Bn | 4.80 Bn | 3.91 Bn |
| 2 | Tapestry | 23.77 Bn | 19.73 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 22.69 Bn | 14.79 Bn | 1.44 Bn | 1.10 Bn |
| 4 | Deckers Outdoor | 12.33 Bn | 5.20 Bn | - | - |
| 5 | Lululemon Athletica | 11.11 Bn | 5.37 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 8.06 Bn | 4.64 Bn | 1.07 Bn | 843.50 Mn |
| 7 | V F | 6.75 Bn | 3.37 Bn | 917.04 Mn | 1.75 Bn |
| 8 | Gildan Activewear | 6.48 Bn | 5.40 Bn | 459.76 Mn | 283.86 Mn |
| 9 | Birkenstock Holding | 6.03 Bn | 4.36 Bn | 493.89 Mn | 37.80 Mn |
| 10 | Movado | 723.82 Mn | -82.70 Mn | 100.83 Mn | 85.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 85.95 Mn |
| Jan 31, 2026 | 89.83 Mn |
| Oct 31, 2025 | 89.33 Mn |
| Jul 31, 2025 | 83.56 Mn |
| Apr 30, 2025 | 71.06 Mn |
| Jan 31, 2025 | 89.12 Mn |
| Oct 31, 2024 | 90.60 Mn |
| Jul 31, 2024 | 82.61 Mn |
| Apr 30, 2024 | 70.80 Mn |
| Jan 31, 2024 | 83.31 Mn |
| Oct 31, 2023 | 81.64 Mn |
| Jul 31, 2023 | 79.64 Mn |
| Apr 30, 2023 | 71.10 Mn |
| Jan 31, 2023 | 83.12 Mn |
| Oct 31, 2022 | 82.76 Mn |
| Jul 31, 2022 | 76.27 Mn |
| Apr 30, 2022 | 71.39 Mn |
| Jan 31, 2022 | 82.64 Mn |
| Oct 31, 2021 | 84.17 Mn |
| Jul 31, 2021 | 73.82 Mn |
API Access
Movado Operating 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=operating-expenses&ticker=MOV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=MOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();