Zeta Global Holdings (ZETA) Long-Term Debt Repayments (2020 - 2026)
Zeta Global Holdings' Long-Term Debt Repayments was $10 million in Q1 2026, up 60.0% from $6.25 million a year earlier.
Analysis
Zeta Global Holdings (ZETA) Long-Term Debt Repayments (2020 - 2026) Analysis & Trends
For FY2025, Long-Term Debt Repayments at Zeta Global Holdings came in at $6.25 million, down 96.8% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $197.5 million in FY2024, $11.25 million in FY2023 (+100.0%), $5.63 million in FY2022 (-96.9%) and $180.75 million in FY2021.
- The Q1 2026 figure marks the highest quarterly Long-Term Debt Repayments since Q3 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 484.28 Bn | 453.23 Bn | 1.64 Bn | - |
| 2 | Oracle | 377.76 Bn | 249.90 Bn | - | 4.20 Bn |
| 3 | Sap Se | 281.15 Bn | 208.93 Bn | 8.40 Bn | -1.86 Bn |
| 4 | Salesforce | 202.54 Bn | 158.41 Bn | 8.70 Bn | 176.00 Mn |
| 5 | ServiceNow | 161.02 Bn | 139.48 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 120.59 Bn | 102.72 Bn | 2.51 Bn | 300,000.00 |
| 7 | Intuit | 95.42 Bn | 74.76 Bn | 3.44 Bn | - |
| 8 | Relx | 73.50 Bn | 72.60 Bn | - | - |
| 9 | Thomson Reuters | 53.79 Bn | 50.57 Bn | - | 500.00 Mn |
| 10 | Zeta Global Holdings | 8.29 Bn | 6.99 Bn | 261.77 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 10.00 Mn |
| Mar 31, 2025 | 6.25 Mn |
| Dec 31, 2024 | 1.25 Mn |
| Sep 30, 2024 | 185.00 Mn |
| Mar 31, 2024 | 11.25 Mn |
| Jun 30, 2023 | 8.44 Mn |
| Mar 31, 2023 | 2.81 Mn |
| Jun 30, 2022 | 4.22 Mn |
| Mar 31, 2022 | 1.41 Mn |
| Mar 31, 2021 | 180.75 Mn |
| Dec 31, 2020 | 3.00 Mn |
API Access
Zeta Global 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=ZETA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "ZETA", "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=ZETA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();