Commvault Systems (CVLT) Change in Accured Expenses (2009 - 2026)
Commvault Systems' Change in Accured Expenses came in at -$26.28 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), compared with -$47.26 million a year earlier.
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Analysis
Commvault Systems (CVLT) Change in Accured Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Commvault Systems reported Change in Accured Expenses of $32.54 million; for FY2026 (ended Mar 31, 2026), it was $11.56 million, down 54.2% from FY2025.
- Change in Accured Expenses carries a five-year compound annual growth rate of 1.6% (FY2021 to FY2026).
- Going back by fiscal year, Change in Accured 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 Accured Expenses is -$47.26 million (fiscal Q1 2026) to $43.45 million (fiscal Q3 2026).
- Year-over-year, Change in Accured Expenses increased in two of the last six quarters, with growth averaging 54.2%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in fiscal Q2 2024 (growth of 463.6%), and the weakest in fiscal Q2 2026 (a decline of 81.8%).
- Business Quant data shows CVLT's Change in Accured Expenses at $13.34 million (Q4 2026), $43.45 million (Q3 2026) and $2.03 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 369.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 72.38 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 75.10 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 108.85 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 6.98 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | -2.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 256.58 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 43.09 Mn |
| 10 | Commvault Systems | 6.23 Bn | 2.31 Bn | 256.52 Mn | -26.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 115,000.00 |
API Access
Commvault Systems Change in Accured 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();