Movado (MOV) Total Non-Current Liabilities (2010 - 2026)
Movado (MOV) posted Total Non-Current Liabilities of $174.51 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 12.9% from $200.27 million a year earlier.
Movado (MOV) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Movado's Total Non-Current Liabilities came in at $172.14 million, down 9.1% from FY2025.
- Annual Total Non-Current Liabilities has declined for six consecutive fiscal years, with a five-year compound annual growth rate of -6.6% (FY2021 to FY2026).
- In prior fiscal years, Movado's Total Non-Current Liabilities was $189.48 million in FY2025 (-3.3%), $196.03 million in FY2024 (-16.2%), $234.04 million in FY2023 (-1.5%) and $237.52 million in FY2022 (-1.8%).
- Quarterly Total Non-Current Liabilities has run from a low of $172.14 million in fiscal Q4 2026 to a high of $248.83 million in fiscal Q3 2023 over five years.
- On a year-over-year basis, Total Non-Current Liabilities increased in two of the last seven quarters, with an average decline of 3.6%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was fiscal Q2 2023, with growth of 10.2%; the weakest was fiscal Q2 2024, with a decline of 21.4%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | - |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 5.46 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 4.76 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 384.05 Mn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 3.63 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 4.12 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 4.37 Bn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 2.75 Bn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 2.33 Bn |
| 10 | Movado | 1.20 Bn | 397.72 Mn | 100.83 Mn | 174.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 174.51 Mn |
| Jan 31, 2026 | 172.14 Mn |
| Oct 31, 2025 | 192.67 Mn |
| Jul 31, 2025 | 200.27 Mn |
| Apr 30, 2025 | 199.43 Mn |
| Jan 31, 2025 | 189.48 Mn |
| Oct 31, 2024 | 196.27 Mn |
| Jul 31, 2024 | 191.73 Mn |
| Apr 30, 2024 | 191.26 Mn |
| Jan 31, 2024 | 196.03 Mn |
| Oct 31, 2023 | 209.97 Mn |
| Jul 31, 2023 | 192.60 Mn |
| Apr 30, 2023 | 196.55 Mn |
| Jan 31, 2023 | 234.04 Mn |
| Oct 31, 2022 | 248.83 Mn |
| Jul 31, 2022 | 244.95 Mn |
| Apr 30, 2022 | 230.47 Mn |
| Jan 31, 2022 | 237.52 Mn |
| Oct 31, 2021 | 230.69 Mn |
| Jul 31, 2021 | 222.25 Mn |
Movado Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=MOV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=MOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();