Atlassian (TEAM) Change in Accrued Expenses (2021 - 2026)
Atlassian's Change in Accrued Expenses was -$121.25 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), compared with -$115.02 million a year earlier.
Atlassian (TEAM) Change in Accrued Expenses (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Atlassian's Change in Accrued Expenses was $62.84 million through Sep 30, 2026, down 25.3% year-over-year; for FY2026 (ended Jun 30, 2026), it came in at $69.08 million, down 24.1% from FY2025.
- Change in Accrued Expenses shows a five-year compound annual growth rate of -1.9% (FY2021 to FY2026).
- In earlier fiscal years, Change in Accrued 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%).
- The fiscal Q1 2027 figure marks the lowest quarterly Change in Accrued Expenses in data going back to fiscal Q1 2022.
- Compared with a year earlier, Change in Accrued Expenses was higher in three of the last five quarters, with growth averaging 6.1%.
- The best year-over-year quarter for Change in Accrued 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 Accrued Expenses in the three fiscal quarters before Q1 2027 was -$31.86 million (Q4 2026), $182.99 million (Q3 2026) and $32.96 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 95.04 Bn | 70.29 Bn | 6.00 Bn | 19.00 Mn |
| 2 | Autodesk | 55.26 Bn | 43.30 Bn | 1.87 Bn | 80.00 Mn |
| 3 | Atlassian | 37.81 Bn | 32.74 Bn | 1.51 Bn | -121.25 Mn |
| 4 | Twilio | 32.70 Bn | 22.33 Bn | 760.53 Mn | 86.78 Mn |
| 5 | Zoom Communications | 29.17 Bn | -1.56 Bn | 985.50 Mn | 53.79 Mn |
| 6 | Figma | 10.36 Bn | 3.67 Bn | 314.44 Mn | 63.05 Mn |
| 7 | Dropbox | 7.27 Bn | 2.69 Bn | 513.70 Mn | 23.10 Mn |
| 8 | RingCentral | 6.37 Bn | 5.90 Bn | 494.30 Mn | 2.61 Mn |
| 9 | Open Text | 6.00 Bn | 1.54 Bn | 905.53 Mn | -81.85 Mn |
| 10 | Box | 5.99 Bn | 4.88 Bn | 253.97 Mn | 11.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -121.25 Mn |
| 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 |
Atlassian Change in Accrued 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();