Kyivstar (KYIV) Operating Expenses (2024 - 2026)
Kyivstar (KYIV) recorded Operating Expenses of -$153 million in Q2 2026, compared with -$127 million a year earlier.
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Analysis
Kyivstar (KYIV) Operating Expenses (2024 - 2026) Analysis & Trends
On a TTM basis, Kyivstar's Operating Expenses came in at -$569 million as of Jun 30, 2026; for FY2025, it was -$533 million.
- Across earlier years, Operating Expenses came in at -$423 million in FY2024 and -$411 million in FY2023.
- Quarterly Operating Expenses has ranged from -$156 million in Q1 2026 to -$101 million in Q2 2024 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$156 million (Q1 2026), -$127 million (Q4 2025) and -$133 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 182.00 Bn | 145.12 Bn | 27.03 Bn | 27.07 Bn |
| 2 | T-Mobile US | 166.59 Bn | 151.34 Bn | 14.76 Bn | 17.30 Bn |
| 3 | At&T | 152.55 Bn | 84.51 Bn | 25.82 Bn | 24.52 Bn |
| 4 | Grupo Televisa, S.A.B | 148.28 Bn | 140.01 Bn | 318.12 Mn | -115.06 Mn |
| 5 | Comcast | 78.71 Bn | 42.78 Bn | - | 24.78 Bn |
| 6 | Vodafone Group Public | 38.12 Bn | 7.51 Bn | - | -125.27 Mn |
| 7 | Chunghwa Telecom | 36.87 Bn | 28.88 Bn | 728.80 Mn | 309.31 Mn |
| 8 | EchoStar | 26.90 Bn | 17.99 Bn | 1.65 Bn | 3.06 Bn |
| 9 | Telefonica Brasil | 20.87 Bn | 14.89 Bn | 1.42 Bn | -904.61 Mn |
| 10 | Kyivstar | 2.99 Bn | 843.75 Mn | 301.00 Mn | 153.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 153.00 Mn |
| Mar 31, 2026 | -156.00 Mn |
| Dec 31, 2025 | -630.00 Mn |
| Sep 30, 2025 | 133.00 Mn |
| Jun 30, 2025 | 127.00 Mn |
| Mar 31, 2025 | -122.00 Mn |
| Dec 31, 2024 | 113.00 Mn |
| Sep 30, 2024 | 109.00 Mn |
| Jun 30, 2024 | -101.00 Mn |
API Access
Kyivstar 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=KYIV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "KYIV", "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=KYIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();