Commvault Systems (CVLT) Goodwill & Intangibles (2019 - 2026)
Commvault Systems (CVLT) recorded Goodwill & Intangibles of $227.59 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 11.1% from $204.92 million a year earlier but down 0.6% from the prior quarter.
Commvault Systems (CVLT) Goodwill & Intangibles (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Commvault Systems reported Goodwill & Intangibles of $229.04 million, up 11.2% from FY2025.
- Annual Goodwill & Intangibles has a five-year compound annual growth rate of 15.3% (FY2021 to FY2026).
- Across earlier fiscal years, Goodwill & Intangibles came in at $205.99 million in FY2025 (+59.9%), $128.82 million in FY2024 (-1.0%), $130.07 million in FY2023 (-1.0%) and $131.32 million in FY2022 (+16.8%).
- Quarterly Goodwill & Intangibles has ranged from $112.44 million in fiscal Q2 2022 to $232.54 million in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Goodwill & Intangibles has increased for nine consecutive quarters, with growth averaging 32.0% over the last eight quarters.
- Peak year-over-year performance for Goodwill & Intangibles in the last five years was growth of 61.3% in fiscal Q3 2025, against a decline of 1.0% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $229.04 million (Q4 2026), $231.81 million (Q3 2026) and $232.54 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn |
| 10 | Commvault Systems | 6.23 Bn | 2.31 Bn | 256.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 227.59 Mn |
| Mar 31, 2026 | 229.04 Mn |
| Dec 31, 2025 | 231.81 Mn |
| Sep 30, 2025 | 232.54 Mn |
| Jun 30, 2025 | 204.92 Mn |
| Mar 31, 2025 | 205.99 Mn |
| Dec 31, 2024 | 208.32 Mn |
| Sep 30, 2024 | 155.27 Mn |
| Jun 30, 2024 | 155.84 Mn |
| Mar 31, 2024 | 128.82 Mn |
| Dec 31, 2023 | 129.13 Mn |
| Sep 30, 2023 | 129.45 Mn |
| Jun 30, 2023 | 129.76 Mn |
| Mar 31, 2023 | 130.07 Mn |
| Dec 31, 2022 | 130.38 Mn |
| Sep 30, 2022 | 130.70 Mn |
| Jun 30, 2022 | 131.01 Mn |
| Mar 31, 2022 | 131.32 Mn |
| Dec 31, 2021 | 112.44 Mn |
| Sep 30, 2021 | 112.44 Mn |
Commvault Systems Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=CVLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "ticker": "CVLT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=goodwill-and-intangibles&ticker=CVLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();