GDS Holdings (GDS) Acquisitions (2016 - 2019)
GDS Holdings (GDS) reported Acquisitions of -$272,461 for the year ended Dec 31, 2025, compared with -$11.86 million a year earlier.
Analysis
GDS Holdings (GDS) Acquisitions (2016 - 2019) Analysis & Trends
Dating back to the year ended Dec 31, 2014, GDS Holdings' Acquisitions record includes 11 years.
- The figure for the year ended Dec 31, 2025 ranks as the highest annual Acquisitions since the year ended Dec 31, 2014.
- According to Business Quant data, Acquisitions came in at -$11.86 million in the year ended Dec 31, 2024, -$32.2 million in the year ended Dec 31, 2023, -$321.59 million in the year ended Dec 31, 2022 and -$28.12 million in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,949.85 Bn | 3,873.01 Bn | 60.48 Bn | 452.00 Mn |
| 2 | International Business Machines | 228.00 Bn | 178.81 Bn | 9.91 Bn | 15.00 Mn |
| 3 | Cloudflare | 103.51 Bn | 87.04 Bn | 499.52 Mn | - |
| 4 | Equinix | 97.35 Bn | 85.92 Bn | 1.40 Bn | - |
| 5 | Nebius | 41.52 Bn | 14.95 Bn | 448.70 Mn | -81.40 Mn |
| 6 | CoreWeave | 34.23 Bn | 21.32 Bn | 1.70 Bn | - |
| 7 | Verisign | 27.83 Bn | 25.04 Bn | 384.60 Mn | - |
| 8 | Nutanix | 18.34 Bn | 10.03 Bn | 651.35 Mn | - |
| 9 | GoDaddy | 14.21 Bn | 9.79 Bn | 828.20 Mn | - |
| 10 | GDS Holdings | 4.44 Bn | -3.84 Bn | 97.55 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 28.67 Mn |
| Sep 30, 2019 | -285,337.25 |
| Jun 30, 2019 | -3.98 Mn |
| Mar 31, 2019 | 740,430.51 |
| Dec 31, 2018 | 2.38 Mn |
| Sep 30, 2018 | 16.26 Mn |
| Jun 30, 2018 | 45.44 Mn |
| Mar 31, 2018 | -6.89 Mn |
| Dec 31, 2017 | 28.18 Mn |
| Sep 30, 2017 | -1.55 Mn |
| Jun 30, 2017 | -5.83 Mn |
| Sep 30, 2016 | -8.56 Mn |
| Jun 30, 2016 | 42.75 Mn |
API Access
GDS Holdings Acquisitions 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=acquisitions&ticker=GDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=GDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();