GDS Holdings (GDS) Long-Term Debt Repayments (2016 - 2025)
GDS Holdings (GDS) reported Long-Term Debt Repayments of -$80,013 for the year ended Dec 31, 2025, compared with -$783.8 million a year earlier.
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Analysis
GDS Holdings (GDS) Long-Term Debt Repayments (2016 - 2025) Analysis & Trends
Dating back to the year ended Dec 31, 2014, GDS Holdings' Long-Term Debt Repayments record includes 12 years.
- The figure for the year ended Dec 31, 2025 ranks as the highest annual Long-Term Debt Repayments in data going back to the year ended Dec 31, 2014.
- According to Business Quant data, Long-Term Debt Repayments came in at -$783.8 million in the year ended Dec 31, 2024, -$295.6 million in the year ended Dec 31, 2023, -$189.5 million in the year ended Dec 31, 2022 and -$809.81 million in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,960.03 Bn | 3,883.19 Bn | 60.48 Bn | - |
| 2 | International Business Machines | 235.53 Bn | 186.34 Bn | 9.91 Bn | 4.21 Bn |
| 3 | Cloudflare | 108.82 Bn | 92.35 Bn | 499.52 Mn | - |
| 4 | Equinix | 98.02 Bn | 86.58 Bn | 1.40 Bn | 756.00 Mn |
| 5 | Nebius | 41.68 Bn | 15.11 Bn | 448.70 Mn | - |
| 6 | CoreWeave | 34.12 Bn | 21.21 Bn | 1.70 Bn | 3.88 Bn |
| 7 | Verisign | 27.89 Bn | 25.10 Bn | 384.60 Mn | - |
| 8 | Nutanix | 18.85 Bn | 10.53 Bn | 651.35 Mn | - |
| 9 | GoDaddy | 14.18 Bn | 9.76 Bn | 828.20 Mn | - |
| 10 | GDS Holdings | 4.48 Bn | -3.80 Bn | 97.55 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | -125.25 Mn |
| Mar 31, 2024 | -406.85 Mn |
| Dec 31, 2019 | 12.78 Mn |
| Sep 30, 2019 | 105.37 Mn |
| Dec 31, 2018 | 40.44 Mn |
| Mar 31, 2018 | -9.70 Mn |
| Dec 31, 2017 | 149.24 Mn |
| Dec 31, 2016 | 28.37 Mn |
API Access
GDS Holdings 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=GDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=GDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();