ZoomInfo Technologies (GTM) Depreciation and Depletion (2019 - 2026)
ZoomInfo Technologies (GTM) posted Depreciation and Depletion of $9.1 million for Q2 2026, up 37.9% from $6.6 million a year earlier and up 3.4% from the prior quarter.
ZoomInfo Technologies (GTM) Depreciation and Depletion (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at ZoomInfo Technologies was $34.3 million, up 18.7% year-over-year; for FY2025, it came in at $30.3 million, up 17.0% from FY2024.
- Annual Depreciation and Depletion has increased for seven consecutive years, with a five-year compound annual growth rate of 27.8% (FY2020 to FY2025).
- In prior years, ZoomInfo Technologies' Depreciation and Depletion was $25.9 million in FY2024 (+32.1%), $19.6 million in FY2023 (+11.4%), $17.6 million in FY2022 (+28.5%) and $13.7 million in FY2021 (+53.9%).
- The Q2 2026 figure stands as the highest quarterly Depreciation and Depletion in data going back to Q2 2019.
- On a year-over-year basis, Depreciation and Depletion has increased in each of the last 17 quarters, with growth averaging 28.6% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q3 2022, with growth of 65.5%; the weakest was Q1 2022, with a decline of 10.3%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $8.8 million (Q1 2026), $8.2 million (Q4 2025) and $8.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | - |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 3.20 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 | 155.00 Mn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | - |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 54.00 Mn |
| 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 | 9.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.10 Mn |
| Mar 31, 2026 | 8.80 Mn |
| Dec 31, 2025 | 8.20 Mn |
| Sep 30, 2025 | 8.20 Mn |
| Jun 30, 2025 | 6.60 Mn |
| Mar 31, 2025 | 7.40 Mn |
| Dec 31, 2024 | 7.50 Mn |
| Sep 30, 2024 | 7.40 Mn |
| Jun 30, 2024 | 5.90 Mn |
| Mar 31, 2024 | 5.20 Mn |
| Dec 31, 2023 | 5.10 Mn |
| Sep 30, 2023 | 4.90 Mn |
| Jun 30, 2023 | 4.70 Mn |
| Mar 31, 2023 | 4.80 Mn |
| Dec 31, 2022 | 4.70 Mn |
| Sep 30, 2022 | 4.80 Mn |
| Jun 30, 2022 | 4.60 Mn |
| Mar 31, 2022 | 3.50 Mn |
| Dec 31, 2021 | 3.30 Mn |
| Sep 30, 2021 | 2.90 Mn |
ZoomInfo Technologies Depreciation and Depletion 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=depreciation-and-depletion&ticker=GTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=GTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();