GDS Holdings (GDS) Total Liabilities (2015 - 2026)
GDS Holdings (GDS) recorded Total Liabilities of $8.17 billion in the quarter ended Jun 30, 2026, up 7.0% from $7.63 billion a year earlier and up 2.8% from the prior quarter.
GDS Holdings (GDS) Total Liabilities (2015 - 2026) Analysis & Trends
As of Dec 31, 2025, GDS Holdings reported Total Liabilities of $7.62 billion, up 9.0% from the prior year.
- Annual Total Liabilities has a five-year compound annual growth rate of 9.4% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Total Liabilities came in at $7 billion in the year ended Dec 31, 2024 (-10.3%), $7.8 billion in the year ended Dec 31, 2023 (+4.1%), $7.49 billion in the year ended Dec 31, 2022 (+1.4%) and $7.39 billion in the year ended Dec 31, 2021 (+52.2%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Total Liabilities since the quarter ended Sep 30, 2024.
- On a year-over-year basis, Total Liabilities has increased for three consecutive quarters, with growth averaging 0.2% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 62.1% in the quarter ended Mar 31, 2022, against a decline of 17.8% in the quarter ended Sep 30, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.95 billion (quarter ended Mar 31, 2026), $7.52 billion (quarter ended Dec 31, 2025) and $7.43 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,944.62 Bn | 3,880.11 Bn | 62.56 Bn | 308.89 Bn |
| 2 | International Business Machines | 231.10 Bn | 185.71 Bn | 9.71 Bn | 118.81 Bn |
| 3 | Equinix | 100.11 Bn | 88.01 Bn | 1.31 Bn | 29.91 Bn |
| 4 | Cloudflare | 96.02 Bn | 78.46 Bn | 557.23 Mn | 6.23 Bn |
| 5 | Nebius | 31.44 Bn | 4.87 Bn | 448.70 Mn | 17.62 Bn |
| 6 | Verisign | 27.82 Bn | 25.17 Bn | 393.20 Mn | 3.56 Bn |
| 7 | CoreWeave | 25.57 Bn | 12.66 Bn | 1.70 Bn | 72.05 Bn |
| 8 | Nutanix | 15.68 Bn | 7.37 Bn | 651.35 Mn | 4.37 Bn |
| 9 | GoDaddy | 14.30 Bn | 9.69 Bn | 843.00 Mn | 8.05 Bn |
| 10 | GDS Holdings | 4.25 Bn | -4.02 Bn | 97.55 Mn | 8.19 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.19 Bn |
| Mar 31, 2026 | 7.93 Bn |
| Dec 31, 2025 | 7.62 Bn |
| Sep 30, 2025 | 7.43 Bn |
| Jun 30, 2025 | 7.62 Bn |
| Mar 31, 2025 | 6.90 Bn |
| Dec 31, 2024 | 7.00 Bn |
| Sep 30, 2024 | 9.04 Bn |
| Jun 30, 2024 | 8.32 Bn |
| Mar 31, 2024 | 7.89 Bn |
| Dec 31, 2023 | 7.79 Bn |
| Sep 30, 2023 | 7.51 Bn |
| Jun 30, 2023 | 7.55 Bn |
| Mar 31, 2023 | 8.06 Bn |
| Dec 31, 2022 | 7.42 Bn |
| Sep 30, 2022 | 7.26 Bn |
| Jun 30, 2022 | 7.53 Bn |
| Mar 31, 2022 | 8.13 Bn |
| Dec 31, 2021 | 7.39 Bn |
| Sep 30, 2021 | 6.12 Bn |
GDS Holdings Total Liabilities 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=total-liabilities&ticker=GDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();