Atlassian (TEAM) Short term Debt (2019 - 2024)
Atlassian (TEAM) posted Short term Debt of $50 million for fiscal Q3 2024 (quarter ended Mar 31, 2024), up 100.0% from $25 million a year earlier and unchanged from the prior quarter.
Powered by 
Analysis
Atlassian (TEAM) Short term Debt (2019 - 2024) Analysis & Trends
At the end of FY2023 (ended Jun 30, 2023), Atlassian's Short term Debt came in at $37.5 million.
- Annual Short term Debt shows a four-year compound annual growth rate of -54.2% (FY2019 to FY2023).
- In prior fiscal years, Atlassian's Short term Debt was $348.8 million in FY2021 (-60.8%), $889.18 million in FY2020 (+4.2%) and $853.58 million in FY2019.
- Quarterly Short term Debt has run from a low of $25 million in fiscal Q3 2023 to a high of $889.18 million in fiscal Q4 2020 over five years.
- According to Business Quant data, Short term Debt for the three prior fiscal quarters was $50 million (Q2 2024), $50 million (Q1 2024) and $37.5 million (Q4 2023).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 50.00 Mn |
| Dec 31, 2023 | 50.00 Mn |
| Sep 30, 2023 | 50.00 Mn |
| Jun 30, 2023 | 37.50 Mn |
| Mar 31, 2023 | 25.00 Mn |
| Jun 30, 2021 | 348.80 Mn |
| Jun 30, 2020 | 889.18 Mn |
| Jun 30, 2019 | 853.58 Mn |
API Access
Atlassian Short term Debt 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=short-term-debt&ticker=TEAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=TEAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();