Equinix (EQIX) Long-Term Debt Repayments (2009 - 2026)
Equinix (EQIX) reported Long-Term Debt Repayments of $44 million for Q3 2026, down 96.4% from $1.24 billion a year earlier and down 94.2% from the prior quarter.
Equinix (EQIX) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Equinix's Long-Term Debt Repayments came in at $1.56 billion, down 33.7% year-over-year; for FY2025, it came in at $1.36 billion, up 18.9% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of -23.9% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $1.14 billion in FY2024 (+665.1%), $149 million in FY2023 (-79.4%), $722 million in FY2022 (-74.9%) and $2.87 billion in FY2021 (-45.9%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $30 million in Q2 2023 and a high of $1.24 billion in Q3 2025.
- Year over year, Long-Term Debt Repayments gained in 1 of the last four quarters, with an average decline of 42.8%.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q3 2022 (growth of 28.4%); the low point was Q2 2022 (a decline of 98.2%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $756 million (Q2 2026), $715 million (Q1 2026) and $43 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,890.86 Bn | 3,826.35 Bn | 62.56 Bn | 4.85 Bn |
| 2 | International Business Machines | 233.55 Bn | 188.83 Bn | 9.71 Bn | 120.00 Mn |
| 3 | Cloudflare | 109.18 Bn | 91.62 Bn | 557.23 Mn | - |
| 4 | Equinix | 104.31 Bn | 92.20 Bn | 1.31 Bn | 44.00 Mn |
| 5 | CoreWeave | 29.43 Bn | 14.28 Bn | 2.48 Bn | -12.78 Bn |
| 6 | Nebius | 29.32 Bn | 122.11 Mn | 761.10 Mn | -21.50 Mn |
| 7 | Verisign | 28.11 Bn | 25.46 Bn | 393.20 Mn | -550.00 Mn |
| 8 | Nutanix | 16.34 Bn | 8.02 Bn | 651.35 Mn | - |
| 9 | GoDaddy | 13.97 Bn | 9.35 Bn | 843.00 Mn | - |
| 10 | Akamai Technologies | 12.30 Bn | 3.31 Bn | 617.27 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 44.00 Mn |
| Jun 30, 2026 | 756.00 Mn |
| Mar 31, 2026 | 715.00 Mn |
| Dec 31, 2025 | 43.00 Mn |
| Sep 30, 2025 | 1.24 Bn |
| Jun 30, 2025 | 41.00 Mn |
| Mar 31, 2025 | 32.00 Mn |
| Dec 31, 2024 | 1.04 Bn |
| Sep 30, 2024 | 35.00 Mn |
| Jun 30, 2024 | 33.00 Mn |
| Mar 31, 2024 | 33.00 Mn |
| Dec 31, 2023 | 46.00 Mn |
| Sep 30, 2023 | 34.00 Mn |
| Jun 30, 2023 | 30.00 Mn |
| Mar 31, 2023 | 39.00 Mn |
| Dec 31, 2022 | 37.97 Mn |
| Sep 30, 2022 | 53.45 Mn |
| Jun 30, 2022 | 37.98 Mn |
| Mar 31, 2022 | 592.61 Mn |
| Dec 31, 2021 | 45.99 Mn |
Equinix Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=EQIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=EQIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();