Atlassian (TEAM) Operating Expenses (2021 - 2026)
Atlassian (TEAM) recorded Operating Expenses of $1.32 billion in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 11.8% from $1.18 billion a year earlier but down 16.7% from the prior quarter.
Powered by 
Analysis
Atlassian (TEAM) Operating Expenses (2021 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Atlassian reported Operating Expenses of $5.57 billion, up 25.0% from FY2025.
- Annual Operating Expenses has increased for ten straight fiscal years, with a five-year compound annual growth rate of 28.1% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $4.45 billion in FY2025 (+21.2%), $3.67 billion in FY2024 (+13.1%), $3.25 billion in FY2023 (+42.4%) and $2.28 billion in FY2022 (+41.1%).
- Quarterly Operating Expenses has ranged from $461.29 million in fiscal Q1 2022 to $1.58 billion in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for 16 consecutive quarters, with growth averaging 23.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 5.5% (fiscal Q3 2024) to 53.6% (fiscal Q3 2023).
- Per Business Quant, the preceding three fiscal quarters came in at $1.58 billion (Q3 2026), $1.4 billion (Q2 2026) and $1.27 billion (Q1 2026).
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 |
|---|---|
| Jun 30, 2026 | 1.32 Bn |
| Mar 31, 2026 | 1.58 Bn |
| Dec 31, 2025 | 1.40 Bn |
| Sep 30, 2025 | 1.27 Bn |
| Jun 30, 2025 | 1.18 Bn |
| Mar 31, 2025 | 1.15 Bn |
| Dec 31, 2024 | 1.12 Bn |
| Sep 30, 2024 | 1.00 Bn |
| Jun 30, 2024 | 981.04 Mn |
| Mar 31, 2024 | 957.90 Mn |
| Dec 31, 2023 | 914.64 Mn |
| Sep 30, 2023 | 818.62 Mn |
| Jun 30, 2023 | 819.71 Mn |
| Mar 31, 2023 | 908.37 Mn |
| Dec 31, 2022 | 816.00 Mn |
| Sep 30, 2022 | 702.03 Mn |
| Jun 30, 2022 | 671.77 Mn |
| Mar 31, 2022 | 591.53 Mn |
| Dec 31, 2021 | 555.29 Mn |
| Sep 30, 2021 | 461.29 Mn |
API Access
Atlassian 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=TEAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TEAM", "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=TEAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();