Datavault AI (DVLT) Amortizatization of Intangibles (2017 - 2020)
Datavault AI (DVLT) posted Amortizatization of Intangibles of $3,000 for Q4 2020, down 62.5% from $8,000 a year earlier and down 62.5% from the prior quarter.
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Analysis
Datavault AI (DVLT) Amortizatization of Intangibles (2017 - 2020) Analysis & Trends
For FY2020, Datavault AI's Amortizatization of Intangibles came in at $28,000, down 15.2% from FY2019.
- Annual Amortizatization of Intangibles shows a three-year compound annual growth rate of 71.5% (FY2017 to FY2020).
- In prior years, Datavault AI's Amortizatization of Intangibles was $33,000 in FY2019 (unchanged), $33,000 in FY2018 (+494.1%) and $5,555 in FY2017.
- The Q4 2020 figure stands as the lowest quarterly Amortizatization of Intangibles in data going back to Q4 2017.
- On a year-over-year basis, Amortizatization of Intangibles increased in 1 of the last eight quarters, with an average decline of 7.6%.
- The strongest year-over-year quarter for Amortizatization of Intangibles in the past five years was Q4 2018, with growth of 44.0%; the weakest was Q4 2020, with a decline of 62.5%.
- According to Business Quant data, Amortizatization of Intangibles for the three prior quarters was $8,000 (Q3 2020), $8,000 (Q2 2020) and $9,000 (Q1 2020).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 13.30 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | - |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | - |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | - |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | - |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | - |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | - |
| 10 | Datavault AI | 128.17 Mn | 128.17 Mn | 2.88 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 3,000.00 |
| Sep 30, 2020 | 8,000.00 |
| Jun 30, 2020 | 8,000.00 |
| Mar 31, 2020 | 9,000.00 |
| Dec 31, 2019 | 8,000.00 |
| Sep 30, 2019 | 8,000.00 |
| Jun 30, 2019 | 9,000.00 |
| Mar 31, 2019 | 8,000.00 |
| Dec 31, 2018 | 8,000.00 |
| Sep 30, 2018 | 8,000.00 |
| Jun 30, 2018 | 9,000.00 |
| Mar 31, 2018 | 8,000.00 |
| Dec 31, 2017 | 5,555.00 |
API Access
Datavault AI 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=DVLT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "DVLT", "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=DVLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();