GDS Holdings (GDS) Prepaid Assets (2015 - 2026)
GDS Holdings' Prepaid Assets was $792.48 million in the quarter ended Jun 30, 2026, up 893.0% from $79.81 million a year earlier but down 0.8% from the prior quarter.
GDS Holdings (GDS) Prepaid Assets (2015 - 2026) Analysis & Trends
As of Dec 31, 2025, Prepaid Assets at GDS Holdings came in at $212.95 million, up 221.8% from the prior year.
- Prepaid Assets shows a five-year compound annual growth rate of 26.8% (years ended Dec 2020 to Dec 2025).
- In earlier years, Prepaid Assets was $66.16 million in the year ended Dec 31, 2024 (-8.4%), $72.21 million in the year ended Dec 31, 2023 (-35.5%), $111.96 million in the year ended Dec 31, 2022 (-71.8%) and $397.64 million in the year ended Dec 31, 2021 (+512.8%).
- Quarterly Prepaid Assets has moved between $26.27 million (the quarter ended Dec 31, 2022) and $799.07 million (the quarter ended Mar 31, 2026) over five years.
- Compared with a year earlier, Prepaid Assets has increased for three straight quarters, with growth averaging 180.4% over the last eight quarters.
- The best year-over-year quarter for Prepaid Assets over five years was the quarter ended Jun 30, 2026 (growth of 893.0%); the worst was the quarter ended Jun 30, 2025 (a decline of 27.8%).
- Per Business Quant data, GDS's Prepaid Assets in the three quarters before the quarter ended Jun 30, 2026 was $799.07 million (quarter ended Mar 31, 2026), $209.96 million (quarter ended Dec 31, 2025) and $97.59 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn |
| 10 | GDS Holdings | 4.27 Bn | -4.01 Bn | 97.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 791.48 Mn |
| Mar 31, 2026 | 797.50 Mn |
| Dec 31, 2025 | 212.86 Mn |
| Sep 30, 2025 | 97.58 Mn |
| Jun 30, 2025 | 79.71 Mn |
| Mar 31, 2025 | 195.51 Mn |
| Dec 31, 2024 | 66.17 Mn |
| Sep 30, 2024 | 125.88 Mn |
| Jun 30, 2024 | 110.53 Mn |
| Mar 31, 2024 | 136.24 Mn |
| Dec 31, 2023 | 24.62 Mn |
| Sep 30, 2023 | 92.24 Mn |
| Jun 30, 2023 | 122.56 Mn |
| Mar 31, 2023 | 139.06 Mn |
| Dec 31, 2022 | 26.83 Mn |
| Sep 30, 2022 | 91.38 Mn |
| Jun 30, 2022 | 111.93 Mn |
| Mar 31, 2022 | 99.91 Mn |
| Dec 31, 2021 | 31.82 Mn |
| Sep 30, 2021 | 79.48 Mn |
GDS Holdings Prepaid Assets 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=prepaid-assets&ticker=GDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "ticker": "GDS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=prepaid-assets&ticker=GDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();