Ericsson Lm Telephone (ERIC) Prepaid Assets (2017 - 2023)
Ericsson Lm Telephone's Prepaid Assets came in at $636.84 million for Q4 2023, down 2.7% from $654.31 million a year earlier.
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Analysis
Ericsson Lm Telephone (ERIC) Prepaid Assets (2017 - 2023) Analysis & Trends
Going back to Q4 2017, Ericsson Lm Telephone's Prepaid Assets data covers 7 quarters.
- Prepaid Assets carries a five-year compound annual growth rate of -2.7% (FY2018 to FY2023).
- Going back by year, Prepaid Assets was $654.31 million in FY2022 (-4.8%), $687.2 million in FY2021 (+16.2%), $591.3 million in FY2020 (-1.6%) and $600.77 million in FY2019 (-17.7%).
- The Q4 2023 figure represents the lowest quarterly Prepaid Assets since Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,044.71 Bn | 4,792.20 Bn | 54.77 Bn |
| 2 | Cisco Systems | 425.48 Bn | 361.41 Bn | 11.06 Bn |
| 3 | Dell Technologies | 314.74 Bn | 270.49 Bn | 9.83 Bn |
| 4 | Arista Networks | 232.54 Bn | 185.99 Bn | 1.91 Bn |
| 5 | Sandisk | 203.25 Bn | 191.77 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 153.74 Bn | 148.73 Bn | 1.90 Bn |
| 7 | Sony | 149.67 Bn | 86.93 Bn | 6.53 Bn |
| 8 | Western Digital | 130.56 Bn | 118.69 Bn | 2.03 Bn |
| 9 | Hewlett Packard Enterprise | 77.92 Bn | 55.80 Bn | 4.93 Bn |
| 10 | Ericsson Lm Telephone | 34.93 Bn | 12.54 Bn | 2.90 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 636.84 Mn |
| Dec 31, 2022 | 654.31 Mn |
| Dec 31, 2021 | 687.20 Mn |
| Dec 31, 2020 | 591.30 Mn |
| Dec 31, 2019 | 600.77 Mn |
| Dec 31, 2018 | 730.39 Mn |
| Dec 31, 2017 | 715.16 Mn |
API Access
Ericsson Lm Telephone Prepaid Assets 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=prepaid-assets&ticker=ERIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "ticker": "ERIC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=prepaid-assets&ticker=ERIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();