Cuentas (CUEN) Price to Book (2019 - 2023)
Cuentas' (CUEN) Price to Book stood at 1.56 in Q3 2023, down 19.1% from 1.93 a year earlier and down 74.5% from the prior quarter.
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Analysis
Cuentas (CUEN) Price to Book (2019 - 2023) Analysis & Trends
For FY2021, Cuentas' Price to Book came in at 2.11, down 96.6% from FY2020.
- Across earlier years, Price to Book came in at 62.69 in FY2020 and 2.48 in FY2019.
- The Q3 2023 figure is the lowest quarterly Price to Book in data going back to Q4 2019.
- On a year-over-year basis, Price to Book rose in two of the last seven quarters, with an average decline of 19.8%.
- Peak year-over-year performance for Price to Book in the last five years was growth of 214.4% in Q2 2021, against a decline of 96.6% in Q4 2021 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 182.00 Bn | 145.12 Bn | 27.03 Bn |
| 2 | T-Mobile US | 166.59 Bn | 151.34 Bn | 14.76 Bn |
| 3 | At&T | 152.55 Bn | 84.51 Bn | 25.82 Bn |
| 4 | Grupo Televisa, S.A.B | 148.28 Bn | 140.01 Bn | 318.12 Mn |
| 5 | Comcast | 78.71 Bn | 42.78 Bn | - |
| 6 | Vodafone Group Public | 38.12 Bn | 7.51 Bn | - |
| 7 | Chunghwa Telecom | 36.87 Bn | 28.88 Bn | 728.80 Mn |
| 8 | EchoStar | 26.90 Bn | 17.99 Bn | 1.65 Bn |
| 9 | Telefonica Brasil | 20.87 Bn | 14.89 Bn | 1.42 Bn |
| 10 | Cuentas | 4.93 Mn | 4.80 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 1.56 |
| Jun 30, 2023 | 6.12 |
| Mar 31, 2023 | 3.22 |
| Sep 30, 2022 | 1.93 |
| Jun 30, 2022 | 2.72 |
| Mar 31, 2022 | 3.03 |
| Dec 31, 2021 | 2.11 |
| Sep 30, 2021 | 3.64 |
| Jun 30, 2021 | 9.77 |
| Mar 31, 2021 | 4.64 |
| Dec 31, 2020 | 62.69 |
| Sep 30, 2020 | 10.06 |
| Jun 30, 2020 | 3.11 |
| Mar 31, 2020 | 2.86 |
| Dec 31, 2019 | 2.48 |
API Access
Cuentas Price to Book 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=price-to-book&ticker=CUEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "CUEN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-book&ticker=CUEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();