GDS Holdings (GDS) Selling, General & Administrative (2015 - 2026)
GDS Holdings (GDS) posted Selling, General & Administrative of -$27.38 million for the quarter ended Jun 30, 2026, compared with -$32.32 million a year earlier.
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Analysis
GDS Holdings (GDS) Selling, General & Administrative (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at GDS Holdings was -$113.64 million; for the year ended Dec 31, 2025, it was -$128.39 million.
- In prior years, GDS Holdings' Selling, General & Administrative was -$126.49 million in the year ended Dec 31, 2024, -$166.96 million in the year ended Dec 31, 2023, -$171.82 million in the year ended Dec 31, 2022 and -$160.37 million in the year ended Dec 31, 2021.
- Quarterly Selling, General & Administrative has run from a low of -$47.28 million in the quarter ended Mar 31, 2022 to a high of -$25.72 million in the quarter ended Mar 31, 2026 over five years.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was -$25.72 million (quarter ended Mar 31, 2026), -$28.46 million (quarter ended Dec 31, 2025) and -$32.08 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,870.06 Bn | 3,793.22 Bn | 60.48 Bn | 2.29 Bn |
| 2 | International Business Machines | 237.60 Bn | 188.50 Bn | 9.91 Bn | 4.98 Bn |
| 3 | Cloudflare | 97.89 Bn | 81.42 Bn | 499.52 Mn | 118.91 Mn |
| 4 | Equinix | 94.00 Bn | 82.55 Bn | 1.40 Bn | 462.00 Mn |
| 5 | Nebius | 40.27 Bn | 13.71 Bn | 448.70 Mn | 173.90 Mn |
| 6 | CoreWeave | 30.64 Bn | 17.73 Bn | 1.70 Bn | 178.00 Mn |
| 7 | Verisign | 27.35 Bn | 24.71 Bn | 393.20 Mn | 70.20 Mn |
| 8 | Nutanix | 18.82 Bn | 10.50 Bn | 651.35 Mn | 72.41 Mn |
| 9 | GoDaddy | 14.55 Bn | 10.13 Bn | 828.20 Mn | 90.50 Mn |
| 10 | GDS Holdings | 4.57 Bn | -3.57 Bn | 97.55 Mn | -27.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -27.28 Mn |
| Mar 31, 2026 | -25.62 Mn |
| Dec 31, 2025 | -28.06 Mn |
| Sep 30, 2025 | -31.91 Mn |
| Jun 30, 2025 | -32.01 Mn |
| Mar 31, 2025 | -32.87 Mn |
| Dec 31, 2024 | -36.06 Mn |
| Sep 30, 2024 | -29.50 Mn |
| Jun 30, 2024 | -28.31 Mn |
| Mar 31, 2024 | -33.91 Mn |
| Dec 31, 2023 | -34.20 Mn |
| Sep 30, 2023 | -43.87 Mn |
| Jun 30, 2023 | -38.48 Mn |
| Mar 31, 2023 | -42.32 Mn |
| Dec 31, 2022 | -41.63 Mn |
| Sep 30, 2022 | -44.17 Mn |
| Jun 30, 2022 | -43.55 Mn |
| Mar 31, 2022 | -47.22 Mn |
| Dec 31, 2021 | -43.91 Mn |
| Sep 30, 2021 | -40.53 Mn |
API Access
GDS Holdings Selling, General & Administrative 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=selling-general-and-administrative&ticker=GDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=GDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();