ZoomInfo Technologies (GTM) Other Accumulated Expenses (2023 - 2026)
ZoomInfo Technologies (GTM) reported Other Accumulated Expenses of $1.2 million for Q2 2026, down 94.7% from $22.8 million a year earlier.
ZoomInfo Technologies (GTM) Other Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2024, ZoomInfo Technologies posted Other Accumulated Expenses of $22.3 million, down 29.0% from FY2023.
- By year, Other Accumulated Expenses came in at $31.4 million in FY2023.
- Five-year quarterly Other Accumulated Expenses spans a low of $500,000 in Q3 2025 and a high of $63.8 million in Q2 2024.
- Year over year, Other Accumulated Expenses gained in 1 of the last six quarters, with an average decline of 52.4%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn |
| 10 | ZoomInfo Technologies | 1.08 Bn | 444.28 Mn | 256.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.20 Mn |
| Sep 30, 2025 | 500,000.00 |
| Jun 30, 2025 | 22.80 Mn |
| Mar 31, 2025 | 22.40 Mn |
| Dec 31, 2024 | 22.30 Mn |
| Sep 30, 2024 | 58.90 Mn |
| Jun 30, 2024 | 63.80 Mn |
| Mar 31, 2024 | 60.40 Mn |
| Dec 31, 2023 | 31.40 Mn |
| Sep 30, 2023 | 43.50 Mn |
| Jun 30, 2023 | 44.40 Mn |
ZoomInfo Technologies Other 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=other-accumulated-expenses&ticker=GTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=GTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();