Autoliv (ALV) Intangibles (2009 - 2023)
Autoliv (ALV) posted Intangibles of $6 million for Q3 2023, up 20.0% from $5 million a year earlier and unchanged from the prior quarter.
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Analysis
Autoliv (ALV) Intangibles (2009 - 2023) Analysis & Trends
At the end of FY2022, Autoliv's Intangibles came in at $7 million, down 12.5% from FY2021.
- Annual Intangibles has declined for six consecutive years, with a five-year compound annual growth rate of -30.3% (FY2017 to FY2022).
- In prior years, Autoliv's Intangibles was $8 million in FY2021 (-42.9%), $14 million in FY2020 (-37.2%), $22.3 million in FY2019 (-31.8%) and $32.7 million in FY2018 (-23.2%).
- Quarterly Intangibles has run from a low of $5 million in Q3 2022 to a high of $32.7 million in Q4 2018 over five years.
- On a year-over-year basis, Intangibles increased in 1 of the last eight quarters, with an average decline of 21.9%.
- The strongest year-over-year quarter for Intangibles in the past five years was Q3 2023, with growth of 20.0%; the weakest was Q1 2019, with a decline of 81.0%.
- According to Business Quant data, Intangibles for the three prior quarters was $6 million (Q2 2023), $7 million (Q1 2023) and $7 million (Q4 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 674.00 Mn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 8.58 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 1.98 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | 4.91 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | - |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | - |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | - |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | 430.00 Mn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 18.36 Bn |
| 10 | Autoliv | 8.20 Bn | 6.66 Bn | 509.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 6.00 Mn |
| Jun 30, 2023 | 6.00 Mn |
| Mar 31, 2023 | 7.00 Mn |
| Dec 31, 2022 | 7.00 Mn |
| Sep 30, 2022 | 5.00 Mn |
| Jun 30, 2022 | 6.00 Mn |
| Mar 31, 2022 | 7.00 Mn |
| Dec 31, 2021 | 8.00 Mn |
| Sep 30, 2021 | 9.00 Mn |
| Jun 30, 2021 | 11.00 Mn |
| Mar 31, 2021 | 14.00 Mn |
| Dec 31, 2020 | 14.00 Mn |
| Sep 30, 2020 | 15.30 Mn |
| Jun 30, 2020 | 17.20 Mn |
| Mar 31, 2020 | 19.40 Mn |
| Dec 31, 2019 | 22.30 Mn |
| Sep 30, 2019 | 24.30 Mn |
| Jun 30, 2019 | 27.80 Mn |
| Mar 31, 2019 | 30.70 Mn |
| Dec 31, 2018 | 32.70 Mn |
API Access
Autoliv 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=intangibles&ticker=ALV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "ticker": "ALV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=intangibles&ticker=ALV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();