Cleartronic (CLRI) Amortizatization of Intangibles (2017 - 2019)
Cleartronic's Amortizatization of Intangibles came in at $10,878 for FY2020 (year ended Sep 30, 2020), down 83.3% from $65,196 in FY2019.
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Analysis
Cleartronic (CLRI) Amortizatization of Intangibles (2017 - 2019) Analysis & Trends
Going back to FY2017, Cleartronic's Amortizatization of Intangibles data covers 4 fiscal years.
- Amortizatization of Intangibles carries a three-year compound annual growth rate of -41.5% (FY2017 to FY2020).
- Per Business Quant, earlier fiscal years put Amortizatization of Intangibles at $65,196 in FY2019 (unchanged), $65,196 in FY2018 (+20.0%) and $54,333 in FY2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.94 Bn | 68.19 Bn | 6.00 Bn | - |
| 2 | Atlassian | 48.88 Bn | 42.16 Bn | 1.53 Bn | - |
| 3 | Twilio | 45.24 Bn | 35.23 Bn | 725.87 Mn | - |
| 4 | Autodesk | 44.31 Bn | 32.34 Bn | 1.87 Bn | - |
| 5 | Zoom Communications | 27.15 Bn | -3.64 Bn | 985.50 Mn | - |
| 6 | Figma | 11.33 Bn | 4.84 Bn | 309.61 Mn | - |
| 7 | Dropbox | 7.45 Bn | 3.08 Bn | 506.50 Mn | - |
| 8 | Nice | 6.88 Bn | 5.35 Bn | 995.81 Mn | - |
| 9 | RingCentral | 6.55 Bn | 6.05 Bn | 472.31 Mn | - |
| 10 | Cleartronic | 2.29 Mn | -1.94 Mn | 905,641.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 10,878.00 |
| Sep 30, 2019 | 16,299.00 |
| Jun 30, 2019 | 16,299.00 |
| Mar 31, 2019 | 16,299.00 |
| Dec 31, 2018 | 16,299.00 |
| Sep 30, 2018 | 16,299.00 |
| Jun 30, 2018 | 16,297.00 |
| Mar 31, 2018 | 16,301.00 |
| Dec 31, 2017 | 16,299.00 |
| Sep 30, 2017 | 16,300.00 |
API Access
Cleartronic Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=CLRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "CLRI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=CLRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();