Zeta Global Holdings (ZETA) Total Non-Current Liabilities (2020 - 2026)
Zeta Global Holdings (ZETA) reported Total Non-Current Liabilities of $256.77 million for Q2 2026, up 10.2% from $233.01 million a year earlier and up 1.6% from the prior quarter.
Zeta Global Holdings (ZETA) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Zeta Global Holdings posted Total Non-Current Liabilities of $269.45 million, up 14.5% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $235.24 million in FY2024 (+21.4%), $193.81 million in FY2023 (-7.6%), $209.76 million in FY2022 (+4.3%) and $201.02 million in FY2021 (-24.8%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $190.87 million in Q2 2024 and a high of $269.45 million in Q4 2025.
- Year over year, Total Non-Current Liabilities has now increased in each of the last eight quarters, with growth averaging 14.1% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2025 (growth of 22.1%); the low point was Q4 2021 (a decline of 24.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $252.66 million (Q1 2026), $269.45 million (Q4 2025) and $232.75 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 1.78 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 188.55 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 12.35 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 67.55 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 18.55 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 56.02 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 17.49 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | 1.34 Mn |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 21.67 Bn |
| 10 | Zeta Global Holdings | 7.16 Bn | 5.86 Bn | 261.77 Mn | 256.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 256.77 Mn |
| Mar 31, 2026 | 252.66 Mn |
| Dec 31, 2025 | 269.45 Mn |
| Sep 30, 2025 | 232.75 Mn |
| Jun 30, 2025 | 233.01 Mn |
| Mar 31, 2025 | 230.19 Mn |
| Dec 31, 2024 | 235.24 Mn |
| Sep 30, 2024 | 203.30 Mn |
| Jun 30, 2024 | 190.87 Mn |
| Mar 31, 2024 | 194.26 Mn |
| Dec 31, 2023 | 193.81 Mn |
| Sep 30, 2023 | 199.03 Mn |
| Jun 30, 2023 | 206.57 Mn |
| Mar 31, 2023 | 209.88 Mn |
| Dec 31, 2022 | 209.76 Mn |
| Sep 30, 2022 | 208.13 Mn |
| Jun 30, 2022 | 204.36 Mn |
| Mar 31, 2022 | 202.76 Mn |
| Dec 31, 2021 | 201.02 Mn |
| Sep 30, 2021 | 196.05 Mn |
Zeta Global Holdings Total Non-Current 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-non-current-liabilities&ticker=ZETA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=ZETA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();