Movado (MOV) Selling, General & Administrative (2010 - 2026)
Movado (MOV) posted Selling, General & Administrative of $85.95 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 2.9% from $83.56 million a year earlier.
Movado (MOV) Selling, General & Administrative (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Selling, General & Administrative at Movado was $348.66 million, up 4.3% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $333.77 million, up 0.2% from FY2025.
- Annual Selling, General & Administrative has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 5.4% (FY2021 to FY2026).
- In prior fiscal years, Movado's Selling, General & Administrative was $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 (+17.5%).
- Quarterly Selling, General & Administrative has run from a low of $70.8 million in fiscal Q1 2025 to a high of $90.6 million in fiscal Q3 2025 over five years.
- On a year-over-year basis, Selling, General & Administrative increased in six of the last seven quarters, with growth averaging 3.1%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was fiscal Q3 2022, with growth of 21.3%; the weakest was fiscal Q3 2023, with a decline of 1.7%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 3.91 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 1.08 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 843.40 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 193.84 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | -37.80 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 415.03 Mn |
| 10 | Movado | 1.22 Bn | 411.83 Mn | 100.83 Mn | 85.95 Mn |
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 |
Movado Selling, General & Administrative 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=selling-general-and-administrative&ticker=MOV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=MOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();