GDS Holdings (GDS) Receivables (2015 - 2026)
GDS Holdings' Receivables was $418.76 million in the quarter ended Jun 30, 2026, up 2.0% from $410.38 million a year earlier but down 2.3% from the prior quarter.
GDS Holdings (GDS) Receivables (2015 - 2026) Analysis & Trends
As of Dec 31, 2025, Receivables at GDS Holdings came in at $391.6 million, down 7.1% from the prior year.
- Receivables shows a five-year compound annual growth rate of 11.5% (years ended Dec 2020 to Dec 2025).
- In earlier years, Receivables was $421.56 million in the year ended Dec 31, 2024 (+17.4%), $359.01 million in the year ended Dec 31, 2023 (+2.8%), $349.24 million in the year ended Dec 31, 2022 (+28.4%) and $271.9 million in the year ended Dec 31, 2021 (+19.8%).
- Quarterly Receivables has moved between $271.01 million (the quarter ended Dec 31, 2021) and $535.25 million (the quarter ended Sep 30, 2024) over five years.
- Compared with a year earlier, Receivables was higher in four of the last eight quarters, with growth averaging 1.4%.
- The best year-over-year quarter for Receivables over five years was the quarter ended Sep 30, 2024 (growth of 35.4%); the worst was the quarter ended Sep 30, 2025 (a decline of 24.7%).
- Per Business Quant data, GDS's Receivables in the three quarters before the quarter ended Jun 30, 2026 was $428.74 million (quarter ended Mar 31, 2026), $387.16 million (quarter ended Dec 31, 2025) and $402.9 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn | 80.88 Bn |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn | 7.39 Bn |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn | 450.13 Mn |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn | 1.34 Bn |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn | 288.60 Mn |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn | 2.54 Bn |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn | 9.50 Mn |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn | 289.25 Mn |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn | 92.90 Mn |
| 10 | GDS Holdings | 4.27 Bn | -4.01 Bn | 97.55 Mn | 419.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 419.72 Mn |
| Mar 31, 2026 | 427.90 Mn |
| Dec 31, 2025 | 392.50 Mn |
| Sep 30, 2025 | 402.88 Mn |
| Jun 30, 2025 | 409.90 Mn |
| Mar 31, 2025 | 417.14 Mn |
| Dec 31, 2024 | 421.51 Mn |
| Sep 30, 2024 | 535.80 Mn |
| Jun 30, 2024 | 467.00 Mn |
| Mar 31, 2024 | 444.92 Mn |
| Dec 31, 2023 | 351.22 Mn |
| Sep 30, 2023 | 395.03 Mn |
| Jun 30, 2023 | 404.77 Mn |
| Mar 31, 2023 | 444.21 Mn |
| Dec 31, 2022 | 345.95 Mn |
| Sep 30, 2022 | 371.84 Mn |
| Jun 30, 2022 | 399.00 Mn |
| Mar 31, 2022 | 364.49 Mn |
| Dec 31, 2021 | 271.92 Mn |
| Sep 30, 2021 | 287.54 Mn |
GDS Holdings Receivables 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=receivables&ticker=GDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=GDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();