ZoomInfo Technologies (GTM) Receivables (2019 - 2026)
ZoomInfo Technologies (GTM) posted Receivables of $188.9 million for Q2 2026, down 3.3% from $195.3 million a year earlier but up 0.5% from the prior quarter.
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Analysis
ZoomInfo Technologies (GTM) Receivables (2019 - 2026) Analysis & Trends
At the end of FY2025, ZoomInfo Technologies' Receivables came in at $230.8 million, down 8.1% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of 13.3% (FY2020 to FY2025).
- In prior years, ZoomInfo Technologies' Receivables was $251.1 million in FY2024 (-9.6%), $277.9 million in FY2023 (+21.6%), $228.6 million in FY2022 (+19.9%) and $190.7 million in FY2021 (+54.3%).
- Quarterly Receivables has run from a low of $117.1 million in Q3 2021 to a high of $277.9 million in Q4 2023 over five years.
- On a year-over-year basis, Receivables has declined in each of the last three quarters, with an average decline of 7.5% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q4 2021, with growth of 54.3%; the weakest was Q3 2024, with a decline of 24.6%.
- According to Business Quant data, Receivables for the three prior quarters was $187.9 million (Q1 2026), $230.8 million (Q4 2025) and $180 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 462.03 Bn | 430.98 Bn | 1.64 Bn | 1.50 Bn |
| 2 | Oracle | 387.48 Bn | 259.61 Bn | - | 11.39 Bn |
| 3 | Sap Se | 266.80 Bn | 194.59 Bn | 8.40 Bn | - |
| 4 | Salesforce | 199.03 Bn | 154.91 Bn | 8.70 Bn | 6.32 Bn |
| 5 | ServiceNow | 154.48 Bn | 132.94 Bn | 2.82 Bn | 2.80 Bn |
| 6 | Automatic Data Processing | 117.71 Bn | 99.83 Bn | 2.51 Bn | 3.52 Bn |
| 7 | Intuit | 92.43 Bn | 71.78 Bn | 3.44 Bn | 625.00 Mn |
| 8 | Relx | 72.15 Bn | 71.24 Bn | - | 3.10 Bn |
| 9 | Thomson Reuters | 50.59 Bn | 47.38 Bn | - | -11.69 Bn |
| 10 | ZoomInfo Technologies | 1.21 Bn | 567.26 Mn | 256.80 Mn | 188.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 188.90 Mn |
| Mar 31, 2026 | 187.90 Mn |
| Dec 31, 2025 | 230.80 Mn |
| Sep 30, 2025 | 180.00 Mn |
| Jun 30, 2025 | 195.30 Mn |
| Mar 31, 2025 | 206.50 Mn |
| Dec 31, 2024 | 251.10 Mn |
| Sep 30, 2024 | 168.80 Mn |
| Jun 30, 2024 | 196.20 Mn |
| Mar 31, 2024 | 233.30 Mn |
| Dec 31, 2023 | 277.90 Mn |
| Sep 30, 2023 | 223.80 Mn |
| Jun 30, 2023 | 211.40 Mn |
| Mar 31, 2023 | 221.10 Mn |
| Dec 31, 2022 | 228.60 Mn |
| Sep 30, 2022 | 169.60 Mn |
| Jun 30, 2022 | 165.90 Mn |
| Mar 31, 2022 | 170.90 Mn |
| Dec 31, 2021 | 190.70 Mn |
| Sep 30, 2021 | 117.10 Mn |
API Access
ZoomInfo Technologies Receivables 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=receivables&ticker=GTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=GTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();