Zoom Communications (ZM) Operating Expenses (2018 - 2026)
Zoom Communications' Operating Expenses was $671.18 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 7.8% from $622.33 million a year earlier.
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Analysis
Zoom Communications (ZM) Operating Expenses (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Zoom Communications' Operating Expenses was $2.64 billion through Jul 31, 2026, down 0.6% year-over-year; for FY2026 (ended Jan 31, 2026), it was $2.63 billion, down 3.5% from FY2025.
- Operating Expenses has now declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 17.6% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $2.72 billion in FY2025 (-6.9%), $2.92 billion in FY2024 (-4.0%), $3.05 billion in FY2023 (+53.8%) and $1.98 billion in FY2022 (+69.4%).
- Quarterly Operating Expenses has moved between $488.94 million (fiscal Q3 2022) and $953.34 million (fiscal Q4 2023) over five years.
- Compared with a year earlier, Operating Expenses was higher in three of the last seven quarters, with an average decline of 1.2%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q4 2023 (growth of 69.6%); the worst was fiscal Q4 2024 (a decline of 26.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 99.39 Bn | 74.64 Bn | 6.00 Bn | 3.64 Bn |
| 2 | Atlassian | 56.40 Bn | 49.68 Bn | 1.53 Bn | 1.32 Bn |
| 3 | Autodesk | 51.55 Bn | 39.59 Bn | 1.87 Bn | 1.27 Bn |
| 4 | Twilio | 41.87 Bn | 31.94 Bn | 725.87 Mn | 641.32 Mn |
| 5 | Zoom Communications | 28.87 Bn | -1.92 Bn | 985.50 Mn | 671.18 Mn |
| 6 | Figma | 12.14 Bn | 5.65 Bn | 309.61 Mn | 426.90 Mn |
| 7 | Dropbox | 8.22 Bn | 3.86 Bn | 506.50 Mn | 341.70 Mn |
| 8 | Nice | 7.17 Bn | 5.64 Bn | 995.81 Mn | 765.06 Mn |
| 9 | RingCentral | 6.72 Bn | 6.21 Bn | 472.31 Mn | 422.02 Mn |
| 10 | Open Text | 6.42 Bn | 1.85 Bn | 1.01 Bn | 691.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 671.18 Mn |
| Jan 31, 2026 | 701.40 Mn |
| Oct 31, 2025 | 647.65 Mn |
| Jul 31, 2025 | 622.33 Mn |
| Apr 30, 2025 | 654.72 Mn |
| Jan 31, 2025 | 671.72 Mn |
| Oct 31, 2024 | 710.82 Mn |
| Jul 31, 2024 | 675.06 Mn |
| Apr 30, 2024 | 664.91 Mn |
| Jan 31, 2024 | 701.62 Mn |
| Oct 31, 2023 | 696.35 Mn |
| Jul 31, 2023 | 694.50 Mn |
| Apr 30, 2023 | 831.68 Mn |
| Jan 31, 2023 | 953.34 Mn |
| Oct 31, 2022 | 764.73 Mn |
| Jul 31, 2022 | 704.10 Mn |
| Apr 30, 2022 | 624.91 Mn |
| Jan 31, 2022 | 562.21 Mn |
| Oct 31, 2021 | 488.94 Mn |
| Jul 31, 2021 | 465.64 Mn |
API Access
Zoom Communications Operating 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=operating-expenses&ticker=ZM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ZM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=ZM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();