Kingsoft Cloud Holdings (KC) Accumulated Expenses (2019 - 2026)
Kingsoft Cloud Holdings (KC) posted Accumulated Expenses of $558.98 million for Q2 2026, up 1.0% from $553.65 million a year earlier and up 8.2% from the prior quarter.
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Analysis
Kingsoft Cloud Holdings (KC) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025, Kingsoft Cloud Holdings' Accumulated Expenses came in at $284.13 million, up 39.1% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 17.0% (FY2020 to FY2025).
- In prior years, Kingsoft Cloud Holdings' Accumulated Expenses was $204.21 million in FY2024 (+44.4%), $141.39 million in FY2023 (-65.6%), $410.43 million in FY2022 (+116.4%) and $189.7 million in FY2021 (+46.4%).
- The Q2 2026 figure stands as the highest quarterly Accumulated Expenses in data going back to Q4 2019.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last three quarters, with growth averaging 38.7% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q2 2022, with growth of 453.6%; the weakest was Q4 2022, with a decline of 73.9%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $516.68 million (Q1 2026), $454.34 million (Q4 2025) and $494.97 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,809.31 Bn | 3,732.47 Bn | 60.48 Bn |
| 2 | International Business Machines | 207.26 Bn | 158.16 Bn | 9.91 Bn |
| 3 | Cloudflare | 111.87 Bn | 95.40 Bn | 499.52 Mn |
| 4 | Equinix | 99.81 Bn | 88.37 Bn | 1.40 Bn |
| 5 | Nebius | 59.68 Bn | 33.11 Bn | 448.70 Mn |
| 6 | CoreWeave | 48.00 Bn | 35.10 Bn | 1.70 Bn |
| 7 | Verisign | 25.49 Bn | 22.71 Bn | 384.60 Mn |
| 8 | Nutanix | 19.05 Bn | 10.74 Bn | 651.35 Mn |
| 9 | Akamai Technologies | 15.27 Bn | 8.68 Bn | 613.75 Mn |
| 10 | Kingsoft Cloud Holdings | 2.72 Bn | -79.03 Mn | 68.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 558.98 Mn |
| Mar 31, 2026 | 516.68 Mn |
| Dec 31, 2025 | 454.34 Mn |
| Sep 30, 2025 | 494.97 Mn |
| Jun 30, 2025 | 553.65 Mn |
| Mar 31, 2025 | 498.42 Mn |
| Dec 31, 2024 | 207.51 Mn |
| Sep 30, 2024 | 550.29 Mn |
| Jun 30, 2024 | 404.38 Mn |
| Mar 31, 2024 | 363.92 Mn |
| Dec 31, 2023 | 139.42 Mn |
| Sep 30, 2023 | 318.03 Mn |
| Jun 30, 2023 | 412.89 Mn |
| Mar 31, 2023 | 389.04 Mn |
| Dec 31, 2022 | 90.67 Mn |
| Sep 30, 2022 | 380.75 Mn |
| Jun 30, 2022 | 410.33 Mn |
| Mar 31, 2022 | 136.98 Mn |
| Dec 31, 2021 | 347.83 Mn |
| Sep 30, 2021 | 226.36 Mn |
API Access
Kingsoft Cloud Holdings 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=KC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "KC", "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=KC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();