Kt (KT) Operating Expenses (2009 - 2025)
Kt's Operating Expenses was $4.75 billion in the quarter ended Dec 31, 2025, down 14.1% from $5.53 billion a year earlier and down 0.3% from the prior quarter.
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Analysis
Kt (KT) Operating Expenses (2009 - 2025) Analysis & Trends
For the year ended Dec 31, 2025, Operating Expenses at Kt came in at $17.99 billion, down 4.0% from the prior year.
- Operating Expenses shows a five-year compound annual growth rate of -2.0% (years ended Dec 2020 to Dec 2025).
- In earlier years, Operating Expenses was $18.74 billion in the year ended Dec 31, 2024 (-1.8%), $19.09 billion in the year ended Dec 31, 2023 (+6.8%), $17.87 billion in the year ended Dec 31, 2022 (-13.1%) and $20.57 billion in the year ended Dec 31, 2021 (+3.4%).
- Quarterly Operating Expenses has moved between $4.25 billion (the quarter ended Mar 31, 2025) and $5.53 billion (the quarter ended Dec 31, 2024) over five years.
- Compared with a year earlier, Operating Expenses was higher in three of the last eight quarters, with an average decline of 2.3%.
- The best year-over-year quarter for Operating Expenses over five years was the quarter ended Mar 31, 2021 (growth of 9.7%); the worst was the quarter ended Dec 31, 2025 (a decline of 14.1%).
- Per Business Quant data, KT's Operating Expenses in the three quarters before the quarter ended Dec 31, 2025 was $4.76 billion (quarter ended Sep 30, 2025), $4.58 billion (quarter ended Jun 30, 2025) and $4.25 billion (quarter ended Mar 31, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 183.12 Bn | 183.12 Bn | - | - |
| 2 | T-Mobile US | 158.78 Bn | 143.53 Bn | 14.76 Bn | 17.30 Bn |
| 3 | At&T | 143.40 Bn | 84.86 Bn | 26.22 Bn | 28.23 Bn |
| 4 | Grupo Televisa, S.A.B | 136.36 Bn | 128.10 Bn | 318.12 Mn | 115.06 Mn |
| 5 | Comcast | 77.60 Bn | 43.40 Bn | - | 23.98 Bn |
| 6 | Vodafone Group Public | 37.84 Bn | 7.24 Bn | - | -125.27 Mn |
| 7 | Chunghwa Telecom | 37.64 Bn | 29.65 Bn | 728.80 Mn | 309.31 Mn |
| 8 | EchoStar | 26.23 Bn | 17.32 Bn | 1.65 Bn | 3.06 Bn |
| 9 | Telefonica Brasil | 18.72 Bn | 12.74 Bn | 1.42 Bn | 904.61 Mn |
| 10 | Kt | 8.18 Bn | -6.07 Bn | - | 4.75 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.75 Bn |
| Sep 30, 2025 | 4.76 Bn |
| Jun 30, 2025 | 4.58 Bn |
| Mar 31, 2025 | 4.25 Bn |
| Dec 31, 2024 | 5.53 Bn |
| Sep 30, 2024 | 4.57 Bn |
| Jun 30, 2024 | 4.42 Bn |
| Mar 31, 2024 | 4.63 Bn |
| Dec 31, 2023 | 5.21 Bn |
| Sep 30, 2023 | 4.86 Bn |
| Jun 30, 2023 | 4.54 Bn |
| Mar 31, 2023 | 4.68 Bn |
| Dec 31, 2022 | 4.96 Bn |
| Sep 30, 2022 | 4.51 Bn |
| Jun 30, 2022 | 4.65 Bn |
| Mar 31, 2022 | 4.69 Bn |
| Dec 31, 2021 | 5.52 Bn |
| Sep 30, 2021 | 5.04 Bn |
| Jun 30, 2021 | 4.95 Bn |
| Mar 31, 2021 | 5.02 Bn |
API Access
Kt 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=KT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "KT", "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=KT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();