GDS Holdings (GDS) Depreciation and Depletion (2016 - 2019)
GDS Holdings (GDS) recorded Depreciation and Depletion of $453.92 million in the year ended Dec 31, 2025, up 7.7% from $421.4 million a year earlier.
GDS Holdings (GDS) Depreciation and Depletion (2016 - 2019) Analysis & Trends
Starting with the year ended Dec 31, 2014, GDS Holdings' Depreciation and Depletion history includes 12 years.
- Annual Depreciation and Depletion has a five-year compound annual growth rate of 14.3% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 is the highest annual Depreciation and Depletion in data going back to the year ended Dec 31, 2014.
- Per Business Quant data, GDS's Depreciation and Depletion was $421.4 million in the year ended Dec 31, 2024 (-0.6%), $424.05 million in the year ended Dec 31, 2023 (+4.6%), $405.56 million in the year ended Dec 31, 2022 (+8.1%) and $375.3 million in the year ended Dec 31, 2021 (+61.2%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,870.06 Bn | 3,793.22 Bn | 60.48 Bn | 10.30 Bn |
| 2 | International Business Machines | 237.60 Bn | 188.50 Bn | 9.91 Bn | 533.00 Mn |
| 3 | Cloudflare | 97.89 Bn | 81.42 Bn | 499.52 Mn | 51.50 Mn |
| 4 | Equinix | 94.00 Bn | 82.55 Bn | 1.40 Bn | - |
| 5 | Nebius | 40.27 Bn | 13.71 Bn | 448.70 Mn | 253.80 Mn |
| 6 | CoreWeave | 30.64 Bn | 17.73 Bn | 1.70 Bn | 1.40 Bn |
| 7 | Verisign | 27.35 Bn | 24.71 Bn | 393.20 Mn | - |
| 8 | Nutanix | 18.82 Bn | 10.50 Bn | 651.35 Mn | 16.30 Mn |
| 9 | GoDaddy | 14.55 Bn | 10.13 Bn | 828.20 Mn | - |
| 10 | GDS Holdings | 4.57 Bn | -3.57 Bn | 97.55 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 42.25 Mn |
| Sep 30, 2019 | 39.68 Mn |
| Dec 31, 2018 | 30.34 Mn |
| Dec 31, 2017 | 16.26 Mn |
| Dec 31, 2016 | 9.80 Mn |
GDS Holdings Depreciation and Depletion 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=depreciation-and-depletion&ticker=GDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=GDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();