Atlassian (TEAM) Other Operating Expenses (2021 - 2026)
Atlassian's Other Operating Expenses was $389.29 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 23.8% from $314.42 million a year earlier but down 11.3% from the prior quarter.
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Analysis
Atlassian (TEAM) Other Operating Expenses (2021 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Other Operating Expenses at Atlassian came in at $1.54 billion, up 35.8% from FY2025.
- Other Operating Expenses has now increased for ten consecutive fiscal years, with a five-year compound annual growth rate of 32.9% (FY2021 to FY2026).
- In earlier fiscal years, Other Operating Expenses was $1.13 billion in FY2025 (+29.3%), $877.5 million in FY2024 (+14.0%), $769.86 million in FY2023 (+43.7%) and $535.82 million in FY2022 (+44.2%).
- Quarterly Other Operating Expenses has moved between $99.33 million (fiscal Q1 2022) and $439.03 million (fiscal Q3 2026) over five years.
- Compared with a year earlier, Other Operating Expenses has increased for 16 straight quarters, with growth averaging 32.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Other Operating Expenses ranged from 1.3% (fiscal Q3 2024) to 61.2% (fiscal Q1 2023).
- Per Business Quant data, TEAM's Other Operating Expenses in the three fiscal quarters before Q4 2026 was $439.03 million (Q3 2026), $376.43 million (Q2 2026) and $336.43 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn |
| 10 | Open Text | 5.38 Bn | 813.39 Mn | 1.01 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 389.29 Mn |
| Mar 31, 2026 | 439.03 Mn |
| Dec 31, 2025 | 376.43 Mn |
| Sep 30, 2025 | 336.43 Mn |
| Jun 30, 2025 | 314.42 Mn |
| Mar 31, 2025 | 295.83 Mn |
| Dec 31, 2024 | 271.89 Mn |
| Sep 30, 2024 | 252.39 Mn |
| Jun 30, 2024 | 239.60 Mn |
| Mar 31, 2024 | 223.81 Mn |
| Dec 31, 2023 | 220.51 Mn |
| Sep 30, 2023 | 193.57 Mn |
| Jun 30, 2023 | 202.62 Mn |
| Mar 31, 2023 | 220.92 Mn |
| Dec 31, 2022 | 186.19 Mn |
| Sep 30, 2022 | 160.13 Mn |
| Jun 30, 2022 | 173.05 Mn |
| Mar 31, 2022 | 142.39 Mn |
| Dec 31, 2021 | 121.05 Mn |
| Sep 30, 2021 | 99.33 Mn |
API Access
Atlassian Other 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=other-operating-expenses&ticker=TEAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=TEAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();