Alarum Technologies (ALAR) Amortizatization of Intangibles (2020 - 2022)
Alarum Technologies (ALAR) posted Amortizatization of Intangibles of -$377000.0 for Q2 2022, down 190.41% on a QoQ basis from $417000.0 in Q1 2022, and down 35.13% year-over-year from -$581121.5 in Q2 2021.
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Analysis
Alarum Technologies (ALAR) Amortizatization of Intangibles (2020 - 2022) Analysis & Trends
Alarum Technologies has reported Amortizatization of Intangibles for 3 years, with the latest figure at -$377000.0 in Q2 2022.
- On a quarterly basis, Amortizatization of Intangibles fell 35.13% year-over-year to -$377000.0 in Q2 2022; TTM through Jun 2022 was $1.6 million, a 35.48% decrease from a year earlier, with the FY2025 full-year figure at $3.0 million, up 18656.25% from the prior year.
- Amortizatization of Intangibles was -$377000.0 for Q2 2022 at Alarum Technologies, down from $417000.0 in the prior quarter.
- The five-year high for Amortizatization of Intangibles was $2.1 million in Q4 2020, with the low at -$377000.0 in Q2 2022.
- Average Amortizatization of Intangibles over 3 years is $507125.0, with a median of $373500.0 recorded in 2020.
- The sharpest annual moves came in 2021 and 2022: Amortizatization of Intangibles tumbled 47.51% in 2021, then jumped 54.44% in 2022.
- Over 3 years, Amortizatization of Intangibles stood at $2.1 million in 2020, then slumped by 47.51% to $1.1 million in 2021, then plunged by 133.48% to -$377000.0 in 2022.
- The last three Amortizatization of Intangibles figures came in at -$377000.0 (Q2 2022), $417000.0 (Q1 2022), and $1.1 million (Q4 2021), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.27 Bn | 302.20 Bn | 2.30 Bn | 21.00 Mn |
| 2 | CrowdStrike Holdings | 256.05 Bn | 251.07 Bn | 1.10 Bn | - |
| 3 | Fortinet | 127.84 Bn | 123.77 Bn | 1.64 Bn | 4.50 Mn |
| 4 | Snowflake | 118.56 Bn | 116.21 Bn | 1.04 Bn | 1.08 Mn |
| 5 | Datadog | 88.83 Bn | 83.85 Bn | 881.34 Mn | 12.48 Mn |
| 6 | Axon Enterprise | 37.31 Bn | 36.64 Bn | 546.45 Mn | - |
| 7 | MongoDB | 34.45 Bn | 32.04 Bn | 569.77 Mn | 993,000.00 |
| 8 | Zscaler | 34.27 Bn | 30.80 Bn | - | - |
| 9 | Okta | 32.86 Bn | 30.56 Bn | 641.00 Mn | - |
| 10 | Alarum Technologies | 139.67 Mn | 125.52 Mn | 7.23 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | -377,000.00 |
| Mar 31, 2022 | 417,000.00 |
| Dec 31, 2021 | 1.13 Mn |
| Sep 30, 2021 | 425,000.00 |
| Jun 30, 2021 | -279,000.00 |
| Mar 31, 2021 | 270,000.00 |
| Dec 31, 2020 | 2.15 Mn |
| Sep 30, 2020 | 330,000.00 |
API Access
Alarum Technologies 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=ALAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "ALAR", "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=ALAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();