ZoomInfo Technologies (GTM) Cash & Equivalents (2019 - 2026)
ZoomInfo Technologies' Cash & Equivalents came in at $147.6 million for Q2 2026, down 13.7% from $171 million a year earlier and down 13.8% from the prior quarter.
ZoomInfo Technologies (GTM) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2025, ZoomInfo Technologies' Cash & Equivalents was $175.9 million, up 25.7% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -8.2% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $139.9 million in FY2024 (-68.7%), $447.1 million in FY2023 (+7.0%), $418 million in FY2022 (+35.6%) and $308.3 million in FY2021 (+14.3%).
- The five-year range for quarterly Cash & Equivalents is $124.8 million (Q3 2025) to $509.7 million (Q2 2023).
- Year-over-year, Cash & Equivalents increased in two of the last eight quarters, with an average decline of 29.6%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q3 2022 (growth of 106.5%), and the weakest in Q4 2024 (a decline of 68.7%).
- Business Quant data shows GTM's Cash & Equivalents at $171.2 million (Q1 2026), $175.9 million (Q4 2025) and $124.8 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 2.03 Bn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 36.37 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 12.22 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 8.31 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 2.50 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 4.23 Bn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 4.71 Bn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | 295.17 Mn |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | 1.71 Bn |
| 10 | ZoomInfo Technologies | 1.08 Bn | 444.28 Mn | 256.80 Mn | 147.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 147.60 Mn |
| Mar 31, 2026 | 171.20 Mn |
| Dec 31, 2025 | 175.90 Mn |
| Sep 30, 2025 | 124.80 Mn |
| Jun 30, 2025 | 171.00 Mn |
| Mar 31, 2025 | 138.50 Mn |
| Dec 31, 2024 | 139.90 Mn |
| Sep 30, 2024 | 147.70 Mn |
| Jun 30, 2024 | 385.90 Mn |
| Mar 31, 2024 | 405.90 Mn |
| Dec 31, 2023 | 447.10 Mn |
| Sep 30, 2023 | 442.60 Mn |
| Jun 30, 2023 | 509.70 Mn |
| Mar 31, 2023 | 474.00 Mn |
| Dec 31, 2022 | 418.00 Mn |
| Sep 30, 2022 | 406.30 Mn |
| Jun 30, 2022 | 352.70 Mn |
| Mar 31, 2022 | 394.40 Mn |
| Dec 31, 2021 | 308.30 Mn |
| Sep 30, 2021 | 196.80 Mn |
ZoomInfo Technologies Cash & Equivalents 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=cash-and-equivalents&ticker=GTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();