ZoomInfo Technologies (GTM) Long-Term Debt Repayments (2019 - 2026)
ZoomInfo Technologies (GTM) recorded Long-Term Debt Repayments of $48.6 million in Q2 2026, compared with $1.5 million a year earlier.
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Analysis
ZoomInfo Technologies (GTM) Long-Term Debt Repayments (2019 - 2026) Analysis & Trends
On a TTM basis, ZoomInfo Technologies' Long-Term Debt Repayments came in at $53 million as of Jun 30, 2026, up 798.3% year-over-year; for FY2025, it was $5.9 million, unchanged from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of -59.0% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $5.9 million in FY2024 (-1.7%), $6 million in FY2023 and $581.4 million in FY2021 (+13.8%).
- The Q2 2026 figure is the highest quarterly Long-Term Debt Repayments since Q3 2021.
- On a year-over-year basis, Long-Term Debt Repayments rose in 1 of the last seven quarters, with an average decline of 0.9%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 7.1% in Q4 2025, against a decline of 6.7% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.5 million (Q1 2026), $1.5 million (Q4 2025) and $1.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 484.14 Bn | 453.09 Bn | 1.64 Bn | - |
| 2 | Oracle | 382.29 Bn | 254.42 Bn | - | 4.20 Bn |
| 3 | Sap Se | 271.18 Bn | 198.96 Bn | 8.40 Bn | -1.86 Bn |
| 4 | Salesforce | 198.30 Bn | 154.17 Bn | 8.70 Bn | 176.00 Mn |
| 5 | ServiceNow | 157.86 Bn | 136.32 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 118.67 Bn | 100.80 Bn | 2.51 Bn | 300,000.00 |
| 7 | Intuit | 92.65 Bn | 72.00 Bn | 3.44 Bn | - |
| 8 | Relx | 71.64 Bn | 70.74 Bn | - | - |
| 9 | Strategy | 54.13 Bn | 47.12 Bn | 81.55 Mn | 1.38 Bn |
| 10 | ZoomInfo Technologies | 1.25 Bn | 607.02 Mn | 256.80 Mn | 48.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.60 Mn |
| Mar 31, 2026 | 1.50 Mn |
| Dec 31, 2025 | 1.50 Mn |
| Sep 30, 2025 | 1.40 Mn |
| Jun 30, 2025 | 1.50 Mn |
| Mar 31, 2025 | 1.50 Mn |
| Dec 31, 2024 | 1.40 Mn |
| Sep 30, 2024 | 1.50 Mn |
| Jun 30, 2024 | 1.50 Mn |
| Mar 31, 2024 | 1.50 Mn |
| Dec 31, 2023 | 1.50 Mn |
| Sep 30, 2023 | 1.50 Mn |
| Jun 30, 2023 | 1.50 Mn |
| Mar 31, 2023 | 1.50 Mn |
| Sep 30, 2021 | 225.00 Mn |
| Mar 31, 2021 | 356.40 Mn |
| Jun 30, 2020 | 508.70 Mn |
| Mar 31, 2020 | 2.20 Mn |
| Dec 31, 2019 | 2.20 Mn |
| Sep 30, 2019 | 2.20 Mn |
API Access
ZoomInfo Technologies 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=GTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "GTM", "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=GTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();