Sk Telecom (SKM) Cash & Equivalents (2009 - 2026)
Sk Telecom (SKM) posted Cash & Equivalents of $802.5 million for Q2 2026, up 41.0% from $569.19 million a year earlier and up 133.5% from the prior quarter.
Sk Telecom (SKM) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Sk Telecom's Cash & Equivalents came in at $1.03 billion, down 29.1% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -3.4% (FY2020 to FY2025).
- In prior years, Sk Telecom's Cash & Equivalents was $1.45 billion in FY2024 (+1.8%), $1.43 billion in FY2023 (+3.0%), $1.39 billion in FY2022 (+19.8%) and $1.16 billion in FY2021 (-5.5%).
- Quarterly Cash & Equivalents has run from a low of $196.02 million in Q3 2021 to a high of $1.45 billion in Q4 2024 over five years.
- On a year-over-year basis, Cash & Equivalents increased in four of the last eight quarters, with an average decline of 5.2%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q1 2022, with growth of 532.3%; the weakest was Q3 2025, with a decline of 77.2%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $343.71 million (Q1 2026), $1.03 billion (Q4 2025) and $330.26 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.87 Bn | 155.27 Bn | 27.03 Bn | 1.75 Bn |
| 2 | T-Mobile US | 175.88 Bn | 160.63 Bn | 14.76 Bn | 2.83 Bn |
| 3 | At&T | 166.65 Bn | 114.60 Bn | 25.82 Bn | 17.57 Bn |
| 4 | Grupo Televisa, S.A.B | 142.49 Bn | 131.12 Bn | 318.12 Mn | 1.70 Bn |
| 5 | Comcast | 76.29 Bn | 40.54 Bn | - | 7.66 Bn |
| 6 | Chunghwa Telecom | 35.81 Bn | 31.66 Bn | 728.80 Mn | 1.34 Bn |
| 7 | EchoStar | 27.35 Bn | 18.48 Bn | 1.65 Bn | 439.99 Mn |
| 8 | AST SpaceMobile | 22.74 Bn | 23.25 Bn | 7.95 Mn | 2.29 Bn |
| 9 | Telefonica Brasil | 18.42 Bn | 12.42 Bn | 1.42 Bn | 1.68 Bn |
| 10 | Sk Telecom | 1.57 Bn | -1.66 Bn | 2.73 Bn | 802.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 802.50 Mn |
| Mar 31, 2026 | 343.71 Mn |
| Dec 31, 2025 | 1.03 Bn |
| Sep 30, 2025 | 330.26 Mn |
| Jun 30, 2025 | 569.19 Mn |
| Mar 31, 2025 | 924.26 Mn |
| Dec 31, 2024 | 1.45 Bn |
| Sep 30, 2024 | 1.45 Bn |
| Jun 30, 2024 | 476.07 Mn |
| Mar 31, 2024 | 1.29 Bn |
| Dec 31, 2023 | 1.10 Bn |
| Sep 30, 2023 | 887.16 Mn |
| Jun 30, 2023 | 468.60 Mn |
| Mar 31, 2023 | 1.33 Bn |
| Dec 31, 2022 | 1.39 Bn |
| Sep 30, 2022 | 891.20 Mn |
| Jun 30, 2022 | 916.81 Mn |
| Mar 31, 2022 | 742.90 Mn |
| Dec 31, 2021 | 737.47 Mn |
| Sep 30, 2021 | 196.02 Mn |
Sk Telecom Cash & Equivalents 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=cash-and-equivalents&ticker=SKM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "SKM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=SKM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();