Commvault Systems (CVLT) Change in Accrued Expenses (2009 - 2026)
Commvault Systems' Change in Accrued Expenses came in at $18.07 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), up 790.2% from $2.03 million a year earlier.
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Analysis
Commvault Systems (CVLT) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Commvault Systems reported Change in Accrued Expenses of $48.58 million; for FY2026 (ended Mar 31, 2026), it was $11.56 million, down 54.2% from FY2025.
- Change in Accrued Expenses carries a five-year compound annual growth rate of 1.6% (FY2021 to FY2026).
- Going back by fiscal year, Change in Accrued Expenses was $25.24 million in FY2025 (+48.5%), $17 million in FY2024, -$24.21 million in FY2023 and $10.4 million in FY2022 (-2.4%).
- The five-year range for quarterly Change in Accrued Expenses is -$47.26 million (fiscal Q1 2026) to $43.45 million (fiscal Q3 2026).
- Year-over-year, Change in Accrued Expenses increased in three of the last six quarters, with growth averaging 190.6%.
- The fastest year-over-year change in Change in Accrued Expenses over five years came in fiscal Q2 2027 (growth of 790.2%), and the weakest in fiscal Q2 2026 (a decline of 81.8%).
- Business Quant data shows CVLT's Change in Accrued Expenses at -$26.28 million (Q1 2027), $13.34 million (Q4 2026) and $43.45 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 369.00 Mn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 72.38 Mn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 108.85 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | -14.80 Mn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | -3.63 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 26.42 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 38.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 256.58 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 43.09 Mn |
| 10 | Commvault Systems | 6.54 Bn | 2.79 Bn | 253.52 Mn | 18.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 18.07 Mn |
| Jun 30, 2026 | -26.28 Mn |
| Mar 31, 2026 | 13.34 Mn |
| Dec 31, 2025 | 43.45 Mn |
| Sep 30, 2025 | 2.03 Mn |
| Jun 30, 2025 | -47.26 Mn |
| Mar 31, 2025 | 15.14 Mn |
| Dec 31, 2024 | 21.93 Mn |
| Sep 30, 2024 | 11.18 Mn |
| Jun 30, 2024 | -23.01 Mn |
| Mar 31, 2024 | 16.15 Mn |
| Dec 31, 2023 | 4.82 Mn |
| Sep 30, 2023 | 15.57 Mn |
| Jun 30, 2023 | -19.53 Mn |
| Mar 31, 2023 | -7.11 Mn |
| Dec 31, 2022 | 11.50 Mn |
| Sep 30, 2022 | 2.76 Mn |
| Jun 30, 2022 | -31.37 Mn |
| Mar 31, 2022 | 13.69 Mn |
| Dec 31, 2021 | 22.66 Mn |
API Access
Commvault Systems Change in Accrued Expenses 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=change-in-accured-expenses&ticker=CVLT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=CVLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();