Cuentas (CUEN) Accumulated Expenses (2010 - 2022)
Cuentas (CUEN) recorded Accumulated Expenses of $309,000 in Q4 2022, down 70.9% from $1.06 million a year earlier.
Analysis
Cuentas (CUEN) Accumulated Expenses (2010 - 2022) Analysis & Trends
Starting with Q4 2010, Cuentas' Accumulated Expenses history includes 20 quarters.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 15.1% (FY2017 to FY2022).
- Across earlier years, Accumulated Expenses came in at $1.06 million in FY2021.
- The Q4 2022 figure is the lowest quarterly Accumulated Expenses since Q2 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 187.75 Bn | 152.16 Bn | 27.03 Bn |
| 2 | T-Mobile US | 170.67 Bn | 155.42 Bn | 14.76 Bn |
| 3 | At&T | 153.32 Bn | 110.77 Bn | 26.22 Bn |
| 4 | Grupo Televisa, S.A.B | 148.71 Bn | 141.01 Bn | 318.12 Mn |
| 5 | Comcast | 80.85 Bn | 46.81 Bn | - |
| 6 | Vodafone Group Public | 39.22 Bn | 12.89 Bn | - |
| 7 | Chunghwa Telecom | 37.80 Bn | 30.30 Bn | 728.80 Mn |
| 8 | EchoStar | 24.89 Bn | 16.03 Bn | 1.65 Bn |
| 9 | Telefonica Brasil | 20.92 Bn | 14.94 Bn | 1.42 Bn |
| 10 | Cuentas | 4.93 Mn | 4.80 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 309,000.00 |
| Dec 31, 2021 | 1.06 Mn |
| Jun 30, 2018 | 235,742.00 |
| Mar 31, 2018 | 586,342.00 |
| Dec 31, 2017 | 153,223.00 |
| Sep 30, 2017 | 138,836.00 |
| Jun 30, 2017 | 278,845.00 |
| Mar 31, 2017 | 192,656.00 |
| Dec 31, 2016 | 133,892.00 |
| Sep 30, 2016 | 127,216.00 |
| Jun 30, 2016 | 59,466.00 |
| Mar 31, 2016 | 26,650.00 |
| Dec 31, 2015 | 12,904.00 |
| Sep 30, 2015 | 26,254.00 |
| Jun 30, 2015 | 4,152.00 |
| Mar 31, 2015 | 1,975.00 |
| Dec 31, 2014 | 7,002.00 |
| Sep 30, 2014 | 3,402.00 |
| Jun 30, 2014 | 5,800.00 |
| Mar 31, 2014 | 17,680.00 |
API Access
Cuentas Accumulated Expenses 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=accumulated-expenses&ticker=CUEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=CUEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();