Atlassian (TEAM) Operating Leases (2020 - 2026)
Atlassian (TEAM) posted Operating Leases of $194.84 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 3.3% from $201.48 million a year earlier and down 5.3% from the prior quarter.
Atlassian (TEAM) Operating Leases (2020 - 2026) Analysis & Trends
Since fiscal Q4 2020, Atlassian has reported Operating Leases for 19 quarters.
- Annual Operating Leases has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -1.9% (FY2021 to FY2026).
- In prior fiscal years, Atlassian's Operating Leases was $201.48 million in FY2025 (-6.1%), $214.47 million in FY2024 (-9.8%), $237.84 million in FY2023 (-13.3%) and $274.43 million in FY2022 (+28.2%).
- Quarterly Operating Leases has run from a low of $175.77 million in fiscal Q2 2026 to a high of $274.43 million in fiscal Q4 2022 over five years.
- On a year-over-year basis, Operating Leases increased in 1 of the last eight quarters, with an average decline of 8.1%.
- The strongest year-over-year quarter for Operating Leases in the past five years was fiscal Q4 2022, with growth of 28.2%; the weakest was fiscal Q2 2026, with a decline of 15.9%.
- According to Business Quant data, Operating Leases for the three prior fiscal quarters was $205.74 million (Q3 2026), $175.77 million (Q2 2026) and $188.57 million (Q1 2026).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 194.84 Mn |
| Mar 31, 2026 | 205.74 Mn |
| Dec 31, 2025 | 175.77 Mn |
| Sep 30, 2025 | 188.57 Mn |
| Jun 30, 2025 | 201.48 Mn |
| Mar 31, 2025 | 198.72 Mn |
| Dec 31, 2024 | 209.10 Mn |
| Sep 30, 2024 | 211.22 Mn |
| Jun 30, 2024 | 214.47 Mn |
| Mar 31, 2024 | 225.21 Mn |
| Dec 31, 2023 | 237.48 Mn |
| Sep 30, 2023 | 231.80 Mn |
| Jun 30, 2023 | 237.84 Mn |
| Mar 31, 2023 | 246.75 Mn |
| Dec 31, 2022 | 257.65 Mn |
| Sep 30, 2022 | 267.37 Mn |
| Jun 30, 2022 | 274.43 Mn |
| Jun 30, 2021 | 214.10 Mn |
| Jun 30, 2020 | 229.83 Mn |
Atlassian Operating Leases 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-leases&ticker=TEAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=TEAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();