Atlassian (TEAM) Operating Expenses (2021 - 2026)
Atlassian's (TEAM) quarterly Operating Expenses came in at $1.3 billion in Q2 2026, up 11.79% year-over-year from $1.2 billion in Q2 2025, and down 16.65% quarter-over-quarter from $1.6 billion in Q1 2026.
Atlassian (TEAM) Operating Expenses (2021 - 2026) Analysis & Trends
Atlassian (TEAM) has reported Operating Expenses for 6 consecutive years, with $1.3 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, Operating Expenses rose 11.79% year-over-year to $1.3 billion in Q2 2026; TTM through Jun 2026 was $5.6 billion, a 25.04% increase from a year earlier, with the FY2026 full-year figure at $5.6 billion, up 25.04% from the prior year.
- Operating Expenses was $1.3 billion for Q2 2026 at Atlassian, down from $1.6 billion in the prior quarter.
- Over five years, Operating Expenses peaked at $1.6 billion in Q1 2026 and troughed at $591.5 million in Q1 2022.
- A 5-year average of $1.0 billion and a median of $969.5 million in 2024 frame the typical range for Operating Expenses.
- Across the five-year window, Operating Expenses surged 53.56% in 2023 and grew 5.45% in 2024, its largest moves.
- Over 5 years, Operating Expenses stood at $816.0 million in 2022, then rose by 12.09% to $914.6 million in 2023, then gained by 22.54% to $1.1 billion in 2024, then grew by 24.59% to $1.4 billion in 2025, then slipped by 5.66% to $1.3 billion in 2026.
- The last three Operating Expenses figures came in at $1.3 billion (Q2 2026), $1.6 billion (Q1 2026), and $1.4 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 94.11 Bn | 88.47 Bn | 6.00 Bn | 3.64 Bn |
| 2 | Atlassian | 50.75 Bn | 49.51 Bn | 1.53 Bn | 1.32 Bn |
| 3 | Autodesk | 45.38 Bn | 41.23 Bn | 1.87 Bn | 1.27 Bn |
| 4 | Twilio | 44.64 Bn | 41.99 Bn | 725.87 Mn | 641.32 Mn |
| 5 | Zoom Communications | 26.86 Bn | 19.62 Bn | 985.50 Mn | 671.18 Mn |
| 6 | Figma | 11.55 Bn | 9.88 Bn | 309.61 Mn | 426.90 Mn |
| 7 | Dropbox | 7.52 Bn | 6.40 Bn | 506.50 Mn | 341.70 Mn |
| 8 | Nice | 7.12 Bn | 6.76 Bn | 995.81 Mn | 765.06 Mn |
| 9 | RingCentral | 6.64 Bn | 6.53 Bn | 472.31 Mn | 422.02 Mn |
| 10 | Open Text | 5.59 Bn | 4.63 Bn | 1.01 Bn | 691.79 Mn |
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 |
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_KEY
import 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();