ZoomInfo Technologies (GTM) Accumulated Expenses (2019 - 2026)
ZoomInfo Technologies' Accumulated Expenses was $119.9 million in Q2 2026, up 21.8% from $98.4 million a year earlier and up 35.0% from the prior quarter.
ZoomInfo Technologies (GTM) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at ZoomInfo Technologies came in at $115.1 million, down 6.9% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $123.6 million in FY2024 (+8.6%), $113.8 million in FY2023 (+9.3%), $104.1 million in FY2022 (+0.8%) and $103.3 million in FY2021 (+26.7%).
- The Q2 2026 figure marks the highest quarterly Accumulated Expenses since Q4 2024.
- Compared with a year earlier, Accumulated Expenses was higher in four of the last eight quarters, with an average decline of 3.4%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q2 2024 (growth of 66.0%); the worst was Q2 2025 (a decline of 30.6%).
- Per Business Quant data, GTM's Accumulated Expenses in the three quarters before Q2 2026 was $88.8 million (Q1 2026), $115.1 million (Q4 2025) and $95.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn |
| 8 | Relx | 60.92 Bn | 57.89 Bn | - |
| 9 | Strategy | 56.49 Bn | 49.48 Bn | 81.55 Mn |
| 10 | ZoomInfo Technologies | 1.13 Bn | 485.20 Mn | 256.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 119.90 Mn |
| Mar 31, 2026 | 88.80 Mn |
| Dec 31, 2025 | 115.10 Mn |
| Sep 30, 2025 | 95.80 Mn |
| Jun 30, 2025 | 98.40 Mn |
| Mar 31, 2025 | 87.20 Mn |
| Dec 31, 2024 | 123.60 Mn |
| Sep 30, 2024 | 109.50 Mn |
| Jun 30, 2024 | 141.80 Mn |
| Mar 31, 2024 | 123.10 Mn |
| Dec 31, 2023 | 113.80 Mn |
| Sep 30, 2023 | 91.40 Mn |
| Jun 30, 2023 | 85.40 Mn |
| Mar 31, 2023 | 79.10 Mn |
| Dec 31, 2022 | 104.10 Mn |
| Sep 30, 2022 | 89.50 Mn |
| Jun 30, 2022 | 84.50 Mn |
| Mar 31, 2022 | 71.00 Mn |
| Dec 31, 2021 | 103.30 Mn |
| Sep 30, 2021 | 77.60 Mn |
ZoomInfo Technologies Accumulated 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=accumulated-expenses&ticker=GTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=GTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();