GDS Holdings (GDS) Other Accumulated Expenses (2015 - 2025)
GDS Holdings' Other Accumulated Expenses came in at $14.03 million for the quarter ended Jun 30, 2026, down 12.3% from $15.99 million a year earlier and down 9.2% from the prior quarter.
GDS Holdings (GDS) Other Accumulated Expenses (2015 - 2025) Analysis & Trends
As of Dec 31, 2025, GDS Holdings' Other Accumulated Expenses was $15.75 million, down 2.0% from the prior year.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 3.6% (years ended Dec 2020 to Dec 2025).
- Going back by year, Other Accumulated Expenses was $16.08 million in the year ended Dec 31, 2024 (-88.7%), $142.68 million in the year ended Dec 31, 2023 (+459.9%), $25.48 million in the year ended Dec 31, 2022 (+11.4%) and $22.87 million in the year ended Dec 31, 2021 (+73.0%).
- The five-year range for quarterly Other Accumulated Expenses is -$243,530 (the quarter ended Dec 31, 2021) to $26.61 million (the quarter ended Jun 30, 2022).
- Year-over-year, Other Accumulated Expenses has declined for six consecutive quarters, with growth averaging 30.7% over the last eight quarters.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in the quarter ended Dec 31, 2024 (growth of 395.2%), and the weakest in the quarter ended Sep 30, 2025 (a decline of 42.8%).
- Business Quant data shows GDS's Other Accumulated Expenses at $15.45 million (quarter ended Mar 31, 2026), $15.53 million (quarter ended Dec 31, 2025) and $13.56 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) |
|---|---|---|---|---|
| 1 | Microsoft | 3,889.49 Bn | 3,812.65 Bn | 60.48 Bn |
| 2 | International Business Machines | 237.29 Bn | 188.10 Bn | 9.91 Bn |
| 3 | Cloudflare | 115.17 Bn | 98.69 Bn | 499.52 Mn |
| 4 | Equinix | 93.63 Bn | 82.20 Bn | 1.40 Bn |
| 5 | Nebius | 38.47 Bn | 11.91 Bn | 448.70 Mn |
| 6 | CoreWeave | 29.87 Bn | 16.96 Bn | 1.70 Bn |
| 7 | Verisign | 27.23 Bn | 24.58 Bn | 393.20 Mn |
| 8 | Nutanix | 18.97 Bn | 10.65 Bn | 651.35 Mn |
| 9 | GoDaddy | 14.71 Bn | 10.29 Bn | 828.20 Mn |
| 10 | GDS Holdings | 4.21 Bn | -4.06 Bn | 97.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 16.85 Mn |
| Dec 31, 2024 | 1.30 Mn |
| Dec 31, 2023 | 2.41 Mn |
| Dec 31, 2022 | 2.44 Mn |
| Dec 31, 2020 | 4.16 Mn |
| Jun 30, 2020 | 8.40 Mn |
| Dec 31, 2019 | 5.44 Mn |
| Sep 30, 2019 | 8.65 Mn |
| Dec 31, 2018 | 4.19 Mn |
| Dec 31, 2017 | 5.84 Mn |
| Sep 30, 2017 | 1.87 Mn |
| Dec 31, 2016 | 10.36 Mn |
| Dec 31, 2015 | 2.23 Mn |
GDS Holdings Other Accumulated Expenses 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=other-accumulated-expenses&ticker=GDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=GDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();