ZoomInfo Technologies (GTM) Research & Development (2019 - 2026)
ZoomInfo Technologies (GTM) recorded Research & Development of $56.8 million in Q2 2026, up 27.4% from $44.6 million a year earlier and up 34.9% from the prior quarter.
ZoomInfo Technologies (GTM) Research & Development (2019 - 2026) Analysis & Trends
On a TTM basis, ZoomInfo Technologies' Research & Development came in at $185.2 million as of Jun 30, 2026, down 7.3% year-over-year; for FY2025, it was $182 million, down 7.2% from FY2024.
- Annual Research & Development has a five-year compound annual growth rate of 28.8% (FY2020 to FY2025).
- Across earlier years, Research & Development came in at $196.1 million in FY2024 (+2.4%), $191.5 million in FY2023 (-7.5%), $207.1 million in FY2022 (+73.0%) and $119.7 million in FY2021 (+132.9%).
- The Q2 2026 figure is the highest quarterly Research & Development since Q4 2022.
- On a year-over-year basis, Research & Development rose in four of the last eight quarters, with growth averaging 0.4%.
- Peak year-over-year performance for Research & Development in the last five years was growth of 224.5% in Q3 2021, against a decline of 25.2% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $42.1 million (Q1 2026), $42.2 million (Q4 2025) and $44.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 192.51 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 2.40 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -2.14 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 1.69 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 915.00 Mn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 265.90 Mn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 857.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 23.10 Mn |
| 10 | ZoomInfo Technologies | 1.05 Bn | 409.20 Mn | 256.80 Mn | 56.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.80 Mn |
| Mar 31, 2026 | 42.10 Mn |
| Dec 31, 2025 | 42.20 Mn |
| Sep 30, 2025 | 44.10 Mn |
| Jun 30, 2025 | 44.60 Mn |
| Mar 31, 2025 | 51.10 Mn |
| Dec 31, 2024 | 56.40 Mn |
| Sep 30, 2024 | 47.70 Mn |
| Jun 30, 2024 | 48.30 Mn |
| Mar 31, 2024 | 43.70 Mn |
| Dec 31, 2023 | 48.30 Mn |
| Sep 30, 2023 | 47.60 Mn |
| Jun 30, 2023 | 53.30 Mn |
| Mar 31, 2023 | 42.30 Mn |
| Dec 31, 2022 | 57.80 Mn |
| Sep 30, 2022 | 54.20 Mn |
| Jun 30, 2022 | 49.50 Mn |
| Mar 31, 2022 | 45.60 Mn |
| Dec 31, 2021 | 40.90 Mn |
| Sep 30, 2021 | 34.40 Mn |
ZoomInfo Technologies Research & Development 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=research-and-development&ticker=GTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=GTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();