Agilysys (AGYS) Asset Writedowns and Impairment (2010 - 2016)
Agilysys (AGYS) reported Asset Writedowns and Impairment of $23.74 million for FY2020 (year ended Mar 31, 2020).
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Analysis
Agilysys (AGYS) Asset Writedowns and Impairment (2010 - 2016) Analysis & Trends
Dating back to FY2010, Agilysys' Asset Writedowns and Impairment record includes 8 fiscal years.
- Asset Writedowns and Impairment has a five-year compound annual growth rate of 47.0% (FY2015 to FY2020).
- The FY2020 figure ranks as the highest annual Asset Writedowns and Impairment in data going back to FY2010.
- According to Business Quant data, Asset Writedowns and Impairment came in at $87,000 in FY2016 (-97.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn |
| 10 | Agilysys | 2.80 Bn | 2.42 Bn | 55.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2016 | 355,000.00 |
| Sep 30, 2015 | -175,000.00 |
| Mar 31, 2015 | 1.84 Mn |
| Dec 31, 2013 | 309,000.00 |
| Sep 30, 2013 | 18,000.00 |
| Mar 31, 2013 | -88,000.00 |
| Jun 30, 2012 | 208,000.00 |
| Mar 31, 2012 | 9.68 Mn |
| Mar 31, 2011 | 900,000.00 |
| Sep 30, 2010 | 59,000.00 |
API Access
Agilysys 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=AGYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "AGYS", "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=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();