Cuentas (CUEN) Operating Expenses (2010 - 2026)
Cuentas (CUEN) reported Operating Expenses of $803,000 for Q2 2026, up 150.9% from $320,000 a year earlier and up 141.1% from the prior quarter.
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Analysis
Cuentas (CUEN) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Cuentas' Operating Expenses came in at $2.43 million, up 92.8% year-over-year; for FY2025, it came in at $1.89 million, down 1.3% from FY2024.
- Operating Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -24.3% (FY2020 to FY2025).
- By year, Operating Expenses came in at $1.92 million in FY2024 (-68.2%), $6.02 million in FY2023 (-59.4%), $14.84 million in FY2022 (+37.6%) and $10.79 million in FY2021 (+41.2%).
- Five-year quarterly Operating Expenses spans a low of $283,000 in Q1 2025 and a high of $5.52 million in Q4 2022.
- Year over year, Operating Expenses has now increased in each of the last three quarters, with growth averaging 11.2% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2025 (growth of 178.7%); the low point was Q4 2024 (a decline of 85.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $333,000 (Q1 2026), $995,000 (Q4 2025) and $296,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 187.96 Bn | 151.08 Bn | 27.03 Bn | 27.07 Bn |
| 2 | T-Mobile US | 171.69 Bn | 156.43 Bn | 14.76 Bn | 17.30 Bn |
| 3 | At&T | 155.30 Bn | 96.77 Bn | 26.22 Bn | 28.23 Bn |
| 4 | Grupo Televisa, S.A.B | 149.53 Bn | 141.26 Bn | 318.12 Mn | -115.06 Mn |
| 5 | Comcast | 81.24 Bn | 45.31 Bn | - | 24.78 Bn |
| 6 | Vodafone Group Public | 38.69 Bn | 8.09 Bn | - | -125.27 Mn |
| 7 | Chunghwa Telecom | 37.96 Bn | 29.98 Bn | 728.80 Mn | 309.31 Mn |
| 8 | EchoStar | 24.88 Bn | 15.97 Bn | 1.65 Bn | 3.06 Bn |
| 9 | Telefonica Brasil | 21.09 Bn | 15.11 Bn | 1.42 Bn | -904.61 Mn |
| 10 | Cuentas | 4.14 Mn | 4.00 Mn | - | 803,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 803,000.00 |
| Mar 31, 2026 | 333,000.00 |
| Dec 31, 2025 | 995,000.00 |
| Sep 30, 2025 | 296,000.00 |
| Jun 30, 2025 | 320,000.00 |
| Mar 31, 2025 | 283,000.00 |
| Dec 31, 2024 | 357,000.00 |
| Sep 30, 2024 | 299,000.00 |
| Jun 30, 2024 | 488,000.00 |
| Mar 31, 2024 | 774,000.00 |
| Dec 31, 2023 | 2.51 Mn |
| Sep 30, 2023 | 1.10 Mn |
| Jun 30, 2023 | 780,000.00 |
| Mar 31, 2023 | 1.63 Mn |
| Dec 31, 2022 | 5.52 Mn |
| Sep 30, 2022 | 2.38 Mn |
| Jun 30, 2022 | 3.20 Mn |
| Mar 31, 2022 | 3.74 Mn |
| Dec 31, 2021 | 4.65 Mn |
| Sep 30, 2021 | 2.43 Mn |
API Access
Cuentas Operating 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=operating-expenses&ticker=CUEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=CUEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();