Atlassian (TEAM) Change in Accured Expenses (2021 - 2026)
Atlassian's Change in Accured Expenses was -$31.86 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with $37.18 million a year earlier.
Atlassian (TEAM) Change in Accured Expenses (2021 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Change in Accured Expenses at Atlassian came in at $69.08 million, down 24.1% from FY2025.
- Change in Accured Expenses shows a five-year compound annual growth rate of -1.9% (FY2021 to FY2026).
- In earlier fiscal years, Change in Accured Expenses was $90.99 million in FY2025 (-42.5%), $158.12 million in FY2024 (+111.9%), $74.61 million in FY2023 (-20.0%) and $93.25 million in FY2022 (+22.6%).
- Quarterly Change in Accured Expenses has moved between -$115.02 million (fiscal Q1 2026) and $182.99 million (fiscal Q3 2026) over five years.
- Compared with a year earlier, Change in Accured Expenses was higher in three of the last five quarters, with growth averaging 6.1%.
- The best year-over-year quarter for Change in Accured Expenses over five years was fiscal Q2 2023 (growth of 175.9%); the worst was fiscal Q4 2025 (a decline of 64.0%).
- Per Business Quant data, TEAM's Change in Accured Expenses in the three fiscal quarters before Q4 2026 was $182.99 million (Q3 2026), $32.96 million (Q2 2026) and -$115.02 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 94.34 Bn | 69.59 Bn | 6.00 Bn | 19.00 Mn |
| 2 | Atlassian | 49.41 Bn | 42.69 Bn | 1.53 Bn | -31.86 Mn |
| 3 | Twilio | 46.29 Bn | 36.29 Bn | 725.87 Mn | 102.90 Mn |
| 4 | Autodesk | 44.16 Bn | 32.20 Bn | 1.87 Bn | 80.00 Mn |
| 5 | Zoom Communications | 27.42 Bn | -3.37 Bn | 985.50 Mn | - |
| 6 | Figma | 11.43 Bn | 4.94 Bn | 309.61 Mn | - |
| 7 | Dropbox | 7.49 Bn | 3.12 Bn | 506.50 Mn | 29.20 Mn |
| 8 | Nice | 7.04 Bn | 5.51 Bn | 995.81 Mn | 92.75 Mn |
| 9 | RingCentral | 6.56 Bn | 6.05 Bn | 472.31 Mn | 25.02 Mn |
| 10 | Open Text | 5.42 Bn | 856.97 Mn | 1.01 Bn | 15.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -31.86 Mn |
| Mar 31, 2026 | 182.99 Mn |
| Dec 31, 2025 | 32.96 Mn |
| Sep 30, 2025 | -115.02 Mn |
| Jun 30, 2025 | 37.18 Mn |
| Mar 31, 2025 | 131.51 Mn |
| Dec 31, 2024 | 30.46 Mn |
| Sep 30, 2024 | -108.17 Mn |
| Jun 30, 2024 | 103.17 Mn |
| Mar 31, 2024 | 67.15 Mn |
| Dec 31, 2023 | 59.14 Mn |
| Sep 30, 2023 | -71.33 Mn |
| Jun 30, 2023 | -6.44 Mn |
| Mar 31, 2023 | 131.24 Mn |
| Dec 31, 2022 | 58.26 Mn |
| Sep 30, 2022 | -108.44 Mn |
| Jun 30, 2022 | 92.00 Mn |
| Mar 31, 2022 | 64.53 Mn |
| Dec 31, 2021 | 21.12 Mn |
| Sep 30, 2021 | -84.41 Mn |
Atlassian Change in Accured 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=change-in-accured-expenses&ticker=TEAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=TEAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();