Zeta Global Holdings (ZETA) Total Liabilities (2020 - 2026)
Zeta Global Holdings (ZETA) reported Total Liabilities of $541.35 million for Q2 2026, up 26.8% from $426.84 million a year earlier but down 4.5% from the prior quarter.
Zeta Global Holdings (ZETA) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Zeta Global Holdings posted Total Liabilities of $698.94 million, up 60.8% from FY2024.
- Total Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- By year, Total Liabilities came in at $434.57 million in FY2024 (+17.4%), $370.19 million in FY2023 (+9.4%), $338.47 million in FY2022 (+10.3%) and $306.78 million in FY2021 (-41.6%).
- Five-year quarterly Total Liabilities spans a low of $298.51 million in Q3 2021 and a high of $698.94 million in Q4 2025.
- Year over year, Total Liabilities has now increased in each of the last 17 quarters, with growth averaging 25.0% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q4 2025 (growth of 60.8%); the low point was Q4 2021 (a decline of 41.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $566.87 million (Q1 2026), $698.94 million (Q4 2025) and $461.56 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 2.07 Bn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 236.06 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 33.88 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 71.24 Bn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 58.36 Bn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 18.73 Bn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 17.79 Bn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | 18.26 Bn |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 21.71 Bn |
| 10 | Zeta Global Holdings | 7.61 Bn | 6.31 Bn | 261.77 Mn | 541.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 541.35 Mn |
| Mar 31, 2026 | 566.87 Mn |
| Dec 31, 2025 | 698.94 Mn |
| Sep 30, 2025 | 461.56 Mn |
| Jun 30, 2025 | 426.84 Mn |
| Mar 31, 2025 | 410.97 Mn |
| Dec 31, 2024 | 434.57 Mn |
| Sep 30, 2024 | 394.21 Mn |
| Jun 30, 2024 | 366.82 Mn |
| Mar 31, 2024 | 358.69 Mn |
| Dec 31, 2023 | 370.19 Mn |
| Sep 30, 2023 | 361.57 Mn |
| Jun 30, 2023 | 353.86 Mn |
| Mar 31, 2023 | 339.93 Mn |
| Dec 31, 2022 | 338.47 Mn |
| Sep 30, 2022 | 331.62 Mn |
| Jun 30, 2022 | 328.91 Mn |
| Mar 31, 2022 | 311.97 Mn |
| Dec 31, 2021 | 306.78 Mn |
| Sep 30, 2021 | 298.51 Mn |
Zeta Global Holdings Total Liabilities 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=total-liabilities&ticker=ZETA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ZETA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();