Equinix (EQIX) Depreciation and Depletion (2009 - 2025)
Equinix (EQIX) recorded Depreciation and Depletion of $449 million in Q2 2025, up 2.5% from $438 million a year earlier and up 4.2% from the prior quarter.
Equinix (EQIX) Depreciation and Depletion (2009 - 2025) Analysis & Trends
On a TTM basis, Equinix's Depreciation and Depletion came in at $1.77 billion as of Jun 30, 2025, up 2.0% year-over-year; for FY2024, it came in at $1.8 billion, up 10.0% from FY2023.
- Annual Depreciation and Depletion has increased for 15 straight years, with a five-year compound annual growth rate of 10.6% (FY2019 to FY2024).
- Across earlier years, Depreciation and Depletion came in at $1.64 billion in FY2023 (+6.9%), $1.53 billion in FY2022 (+5.6%), $1.45 billion in FY2021 (+18.5%) and $1.22 billion in FY2020 (+12.5%).
- The Q2 2025 figure is the highest quarterly Depreciation and Depletion since Q1 2024.
- On a year-over-year basis, Depreciation and Depletion rose in seven of the last eight quarters, with growth averaging 6.1%.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 21.8% in Q2 2021, against a decline of 9.1% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $431 million (Q1 2025), $445 million (Q4 2024) and $444 million (Q3 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,944.62 Bn | 3,880.11 Bn | 62.56 Bn | 11.10 Bn |
| 2 | International Business Machines | 231.10 Bn | 185.71 Bn | 9.71 Bn | 550.00 Mn |
| 3 | Equinix | 100.11 Bn | 88.01 Bn | 1.31 Bn | - |
| 4 | Cloudflare | 96.02 Bn | 78.46 Bn | 557.23 Mn | 55.70 Mn |
| 5 | Nebius | 31.44 Bn | 4.87 Bn | 448.70 Mn | 253.80 Mn |
| 6 | Verisign | 27.82 Bn | 25.17 Bn | 393.20 Mn | - |
| 7 | CoreWeave | 25.57 Bn | 12.66 Bn | 1.70 Bn | 1.40 Bn |
| 8 | Nutanix | 15.68 Bn | 7.37 Bn | 651.35 Mn | 16.30 Mn |
| 9 | GoDaddy | 14.30 Bn | 9.69 Bn | 843.00 Mn | - |
| 10 | Akamai Technologies | 12.01 Bn | 5.41 Bn | 613.75 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 449.00 Mn |
| Mar 31, 2025 | 431.00 Mn |
| Dec 31, 2024 | 445.00 Mn |
| Sep 30, 2024 | 444.00 Mn |
| Jun 30, 2024 | 438.00 Mn |
| Mar 31, 2024 | 474.00 Mn |
| Dec 31, 2023 | 411.00 Mn |
| Sep 30, 2023 | 411.00 Mn |
| Jun 30, 2023 | 410.00 Mn |
| Mar 31, 2023 | 405.00 Mn |
| Dec 31, 2022 | 386.52 Mn |
| Sep 30, 2022 | 378.32 Mn |
| Jun 30, 2022 | 381.40 Mn |
| Mar 31, 2022 | 385.77 Mn |
| Dec 31, 2021 | 376.05 Mn |
| Sep 30, 2021 | 368.58 Mn |
| Jun 30, 2021 | 364.56 Mn |
| Mar 31, 2021 | 341.62 Mn |
| Dec 31, 2020 | 327.25 Mn |
| Sep 30, 2020 | 310.47 Mn |
Equinix 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=EQIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "EQIX", "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=EQIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();