GDS Holdings (GDS) EBITDA (2015 - 2026)
GDS Holdings' EBITDA came in at $194.59 million for the quarter ended Jun 30, 2026, up 8.1% from $179.99 million a year earlier but down 23.7% from the prior quarter.
GDS Holdings (GDS) EBITDA (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, GDS Holdings reported EBITDA of $657.43 million, down 5.6% year-over-year; for the year ended Dec 31, 2025, it was $500.74 million, down 19.2% from the prior year.
- EBITDA carries a five-year compound annual growth rate of 5.7% (years ended Dec 2020 to Dec 2025).
- Going back by year, EBITDA was $619.78 million in the year ended Dec 31, 2024 (+262.7%), $170.89 million in the year ended Dec 31, 2023 (-69.7%), $564.83 million in the year ended Dec 31, 2022 (+6.3%) and $531.41 million in the year ended Dec 31, 2021 (+40.3%).
- The five-year range for quarterly EBITDA is -$281.94 million (the quarter ended Dec 31, 2023) to $255.13 million (the quarter ended Mar 31, 2026).
- The fastest year-over-year change in EBITDA over five years came in the quarter ended Sep 30, 2021 (growth of 49.0%), and the weakest in the quarter ended Dec 31, 2022 (a decline of 3.9%).
- Business Quant data shows GDS's EBITDA at $255.13 million (quarter ended Mar 31, 2026), -$38.54 million (quarter ended Dec 31, 2025) and $246.24 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn | 51.63 Bn |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn | 3.96 Bn |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn | -107.83 Mn |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn | 1.22 Bn |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn | 110.60 Mn |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn | 1.39 Bn |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn | 302.90 Mn |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn | 88.42 Mn |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn | 355.80 Mn |
| 10 | GDS Holdings | 4.27 Bn | -4.01 Bn | 97.55 Mn | 194.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 194.59 Mn |
| Mar 31, 2026 | 254.08 Mn |
| Dec 31, 2025 | -40.36 Mn |
| Sep 30, 2025 | 244.93 Mn |
| Jun 30, 2025 | 178.81 Mn |
| Mar 31, 2025 | 172.45 Mn |
| Dec 31, 2024 | 164.42 Mn |
| Sep 30, 2024 | 161.47 Mn |
| Jun 30, 2024 | 156.17 Mn |
| Mar 31, 2024 | 145.00 Mn |
| Dec 31, 2023 | -283.15 Mn |
| Sep 30, 2023 | 139.48 Mn |
| Jun 30, 2023 | 166.13 Mn |
| Mar 31, 2023 | 152.40 Mn |
| Dec 31, 2022 | 139.54 Mn |
| Sep 30, 2022 | 140.84 Mn |
| Jun 30, 2022 | 148.97 Mn |
| Mar 31, 2022 | 150.89 Mn |
| Dec 31, 2021 | 149.29 Mn |
| Sep 30, 2021 | 136.54 Mn |
GDS Holdings EBITDA 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=ebitda&ticker=GDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=GDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();