Zeta Global Holdings (ZETA) Operating Expenses (2020 - 2026)
Zeta Global Holdings (ZETA) posted Operating Expenses of $425.84 million for Q2 2026, up 35.8% from $313.55 million a year earlier and up 2.6% from the prior quarter.
Zeta Global Holdings (ZETA) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Zeta Global Holdings was $1.55 billion, up 30.8% year-over-year; for FY2025, it came in at $1.3 billion, up 21.0% from FY2024.
- Annual Operating Expenses has increased for six consecutive years, with a five-year compound annual growth rate of 28.1% (FY2020 to FY2025).
- In prior years, Zeta Global Holdings' Operating Expenses was $1.07 billion in FY2024 (+19.8%), $896.41 million in FY2023 (+5.5%), $850 million in FY2022 (+20.3%) and $706.75 million in FY2021 (+87.9%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q2 2020.
- On a year-over-year basis, Operating Expenses has increased in each of the last 16 quarters, with growth averaging 27.4% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2022, with growth of 95.2%; the weakest was Q2 2022, with a decline of 6.5%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $415.14 million (Q1 2026), $376.8 million (Q4 2025) and $328.42 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 12.62 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Zeta Global Holdings | 6.57 Bn | 5.27 Bn | 261.77 Mn | 425.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 425.84 Mn |
| Mar 31, 2026 | 415.14 Mn |
| Dec 31, 2025 | 376.80 Mn |
| Sep 30, 2025 | 328.42 Mn |
| Jun 30, 2025 | 313.55 Mn |
| Mar 31, 2025 | 280.53 Mn |
| Dec 31, 2024 | 307.75 Mn |
| Sep 30, 2024 | 280.67 Mn |
| Jun 30, 2024 | 254.42 Mn |
| Mar 31, 2024 | 230.82 Mn |
| Dec 31, 2023 | 242.18 Mn |
| Sep 30, 2023 | 226.15 Mn |
| Jun 30, 2023 | 218.03 Mn |
| Mar 31, 2023 | 210.05 Mn |
| Dec 31, 2022 | 222.85 Mn |
| Sep 30, 2022 | 218.42 Mn |
| Jun 30, 2022 | 214.39 Mn |
| Mar 31, 2022 | 194.33 Mn |
| Dec 31, 2021 | 196.00 Mn |
| Sep 30, 2021 | 182.00 Mn |
Zeta Global Holdings Operating Expenses 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=operating-expenses&ticker=ZETA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ZETA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();