Atlassian (TEAM) Accumulated Expenses (2015 - 2026)
Atlassian (TEAM) recorded Accumulated Expenses of $623.63 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 10.9% from $562.33 million a year earlier but down 18.4% from the prior quarter.
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Analysis
Atlassian (TEAM) Accumulated Expenses (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Atlassian reported Accumulated Expenses of $764.58 million, up 12.2% from FY2025.
- Annual Accumulated Expenses has increased for seven straight fiscal years, with a five-year compound annual growth rate of 49.6% (FY2021 to FY2026).
- Across earlier fiscal years, Accumulated Expenses came in at $681.6 million in FY2025 (+18.1%), $577.36 million in FY2024 (+36.4%), $423.13 million in FY2023 (+4.2%) and $406.14 million in FY2022 (+298.4%).
- Quarterly Accumulated Expenses has ranged from $102.55 million in fiscal Q2 2022 to $816.26 million in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Accumulated Expenses has increased for 24 consecutive quarters, with growth averaging 20.2% over the last eight quarters.
- The year-over-year growth in Accumulated Expenses has ranged between 4.2% (fiscal Q4 2023) and 298.4% (fiscal Q4 2022) over the last five years.
- Per Business Quant, the preceding three fiscal quarters came in at $764.58 million (Q4 2026), $816.26 million (Q3 2026) and $603.85 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 95.04 Bn | 70.29 Bn | 6.00 Bn |
| 2 | Autodesk | 55.26 Bn | 43.30 Bn | 1.87 Bn |
| 3 | Atlassian | 37.81 Bn | 32.74 Bn | 1.51 Bn |
| 4 | Twilio | 32.70 Bn | 22.33 Bn | 760.53 Mn |
| 5 | Zoom Communications | 29.17 Bn | -1.56 Bn | 985.50 Mn |
| 6 | Figma | 10.36 Bn | 3.67 Bn | 314.44 Mn |
| 7 | Dropbox | 7.27 Bn | 2.69 Bn | 513.70 Mn |
| 8 | RingCentral | 6.37 Bn | 5.90 Bn | 494.30 Mn |
| 9 | Open Text | 6.00 Bn | 1.54 Bn | 905.53 Mn |
| 10 | Box | 5.99 Bn | 4.88 Bn | 253.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 623.63 Mn |
| Jun 30, 2026 | 764.58 Mn |
| Mar 31, 2026 | 816.26 Mn |
| Dec 31, 2025 | 603.85 Mn |
| Sep 30, 2025 | 562.33 Mn |
| Jun 30, 2025 | 681.60 Mn |
| Mar 31, 2025 | 661.04 Mn |
| Dec 31, 2024 | 531.28 Mn |
| Sep 30, 2024 | 477.05 Mn |
| Jun 30, 2024 | 577.36 Mn |
| Mar 31, 2024 | 484.90 Mn |
| Dec 31, 2023 | 410.38 Mn |
| Sep 30, 2023 | 362.34 Mn |
| Jun 30, 2023 | 423.13 Mn |
| Mar 31, 2023 | 433.07 Mn |
| Dec 31, 2022 | 308.93 Mn |
| Sep 30, 2022 | 274.77 Mn |
| Jun 30, 2022 | 406.14 Mn |
| Mar 31, 2022 | 129.94 Mn |
| Dec 31, 2021 | 102.55 Mn |
API Access
Atlassian Accumulated 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=accumulated-expenses&ticker=TEAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=TEAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();