Movado (MOV) Asset Writedowns and Impairment (2012 - 2020)
Movado (MOV) recorded Asset Writedowns and Impairment of $155.92 million in FY2021 (year ended Jan 31, 2021).
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Analysis
Movado (MOV) Asset Writedowns and Impairment (2012 - 2020) Analysis & Trends
Starting with FY2010, Movado's Asset Writedowns and Impairment history includes 10 fiscal years.
- Annual Asset Writedowns and Impairment has a five-year compound annual growth rate of 118.8% (FY2016 to FY2021).
- The FY2021 figure is the highest annual Asset Writedowns and Impairment in data going back to FY2010.
- Per Business Quant data, MOV's Asset Writedowns and Impairment was $3.79 million in FY2018 (+195.8%) and $1.28 million in FY2017 (-58.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn |
| 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 |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn |
| 10 | Movado | 1.22 Bn | 411.83 Mn | 100.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2020 | 155.92 Mn |
| Jan 31, 2019 | -2.23 Mn |
| Oct 31, 2018 | 1.12 Mn |
| Jul 31, 2018 | 630,000.00 |
| Apr 30, 2018 | 483,000.00 |
| Jan 31, 2018 | 1.86 Mn |
| Oct 31, 2017 | 1.04 Mn |
| Jul 31, 2017 | 527,000.00 |
| Apr 30, 2017 | 359,000.00 |
| Jan 31, 2017 | -685,000.00 |
| Oct 31, 2016 | 1.10 Mn |
| Jul 31, 2016 | 508,000.00 |
| Apr 30, 2016 | 359,000.00 |
| Jan 31, 2016 | 1.30 Mn |
| Oct 31, 2015 | 1.01 Mn |
| Jul 31, 2015 | 468,000.00 |
| Apr 30, 2015 | 330,000.00 |
| Jan 31, 2015 | 591,000.00 |
| Oct 31, 2014 | 1.05 Mn |
| Jul 31, 2014 | 570,000.00 |
API Access
Movado Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=MOV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=MOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();