Atlassian (TEAM) Cash & Equivalents (2017 - 2026)
Atlassian (TEAM) posted Cash & Equivalents of $1.24 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 50.7% from $2.51 billion a year earlier but up 9.1% from the prior quarter.
Atlassian (TEAM) Cash & Equivalents (2017 - 2026) Analysis & Trends
Since fiscal Q4 2017, Atlassian has reported Cash & Equivalents for 25 quarters.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 6.2% (FY2021 to FY2026).
- In prior fiscal years, Atlassian's Cash & Equivalents was $2.51 billion in FY2025 (+15.4%), $2.18 billion in FY2024 (+3.5%), $2.1 billion in FY2023 (+51.8%) and $1.39 billion in FY2022 (+50.7%).
- Quarterly Cash & Equivalents has run from a low of $899.39 million in fiscal Q2 2022 to a high of $2.66 billion in fiscal Q3 2025 over five years.
- On a year-over-year basis, Cash & Equivalents has declined in each of the last three quarters, with an average decline of 5.4% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was fiscal Q2 2023, with growth of 82.0%; the weakest was fiscal Q3 2026, with a decline of 57.3%.
- According to Business Quant data, Cash & Equivalents for the three prior fiscal quarters was $1.14 billion (Q3 2026), $1.16 billion (Q2 2026) and $2.32 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 93.82 Bn | 69.07 Bn | 6.00 Bn | 4.36 Bn |
| 2 | Atlassian | 46.64 Bn | 39.92 Bn | 1.53 Bn | 1.24 Bn |
| 3 | Twilio | 44.91 Bn | 34.90 Bn | 725.87 Mn | 823.26 Mn |
| 4 | Autodesk | 43.68 Bn | 31.72 Bn | 1.87 Bn | 4.10 Bn |
| 5 | Zoom Communications | 26.53 Bn | -4.25 Bn | 985.50 Mn | 931.99 Mn |
| 6 | Figma | 11.16 Bn | 4.66 Bn | 309.61 Mn | 445.85 Mn |
| 7 | Dropbox | 7.44 Bn | 3.07 Bn | 506.50 Mn | 1.06 Bn |
| 8 | Nice | 6.72 Bn | 5.19 Bn | 995.81 Mn | 315.38 Mn |
| 9 | RingCentral | 6.26 Bn | 5.75 Bn | 472.31 Mn | 111.50 Mn |
| 10 | Open Text | 5.43 Bn | 861.81 Mn | 1.01 Bn | 956.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.24 Bn |
| Mar 31, 2026 | 1.14 Bn |
| Dec 31, 2025 | 1.16 Bn |
| Sep 30, 2025 | 2.32 Bn |
| Jun 30, 2025 | 2.51 Bn |
| Mar 31, 2025 | 2.66 Bn |
| Dec 31, 2024 | 2.22 Bn |
| Sep 30, 2024 | 2.06 Bn |
| Jun 30, 2024 | 2.18 Bn |
| Mar 31, 2024 | 1.95 Bn |
| Dec 31, 2023 | 1.46 Bn |
| Sep 30, 2023 | 2.14 Bn |
| Jun 30, 2023 | 2.10 Bn |
| Mar 31, 2023 | 1.97 Bn |
| Dec 31, 2022 | 1.64 Bn |
| Sep 30, 2022 | 1.47 Bn |
| Jun 30, 2022 | 1.39 Bn |
| Mar 31, 2022 | 1.19 Bn |
| Dec 31, 2021 | 899.39 Mn |
| Sep 30, 2021 | 1.51 Bn |
Atlassian Cash & Equivalents 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=cash-and-equivalents&ticker=TEAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=TEAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();