Atlassian (TEAM) Depreciation and Depletion (2021 - 2026)
Atlassian's Depreciation and Depletion came in at $8.3 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 11.7% from $9.4 million a year earlier and down 16.2% from the prior quarter.
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Analysis
Atlassian (TEAM) Depreciation and Depletion (2021 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Atlassian's Depreciation and Depletion was $39.2 million, up 6.2% from FY2025.
- Depreciation and Depletion has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 10.1% (FY2021 to FY2026).
- Going back by fiscal year, Depreciation and Depletion was $36.9 million in FY2025 (+27.2%), $29 million in FY2024 (+4.3%), $27.8 million in FY2023 (+44.0%) and $19.3 million in FY2022 (-20.2%).
- The fiscal Q4 2026 figure represents the lowest quarterly Depreciation and Depletion since fiscal Q4 2024.
- Year-over-year, Depreciation and Depletion increased in seven of the last eight quarters, with growth averaging 16.7%.
- The fastest year-over-year change in Depreciation and Depletion over five years came in fiscal Q3 2023 (growth of 80.5%), and the weakest in fiscal Q4 2026 (a decline of 11.7%).
- Business Quant data shows TEAM's Depreciation and Depletion at $9.9 million (Q3 2026), $10.3 million (Q2 2026) and $10.7 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 99.39 Bn | 74.64 Bn | 6.00 Bn | - |
| 2 | Atlassian | 56.40 Bn | 49.68 Bn | 1.53 Bn | 8.30 Mn |
| 3 | Autodesk | 51.55 Bn | 39.59 Bn | 1.87 Bn | - |
| 4 | Twilio | 41.87 Bn | 31.94 Bn | 725.87 Mn | 17.70 Mn |
| 5 | Zoom Communications | 28.87 Bn | -1.92 Bn | 985.50 Mn | 27.30 Mn |
| 6 | Figma | 12.14 Bn | 5.65 Bn | 309.61 Mn | - |
| 7 | Dropbox | 8.22 Bn | 3.86 Bn | 506.50 Mn | - |
| 8 | Nice | 7.17 Bn | 5.64 Bn | 995.81 Mn | - |
| 9 | RingCentral | 6.72 Bn | 6.21 Bn | 472.31 Mn | 23.00 Mn |
| 10 | Open Text | 6.42 Bn | 1.85 Bn | 1.01 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.30 Mn |
| Mar 31, 2026 | 9.90 Mn |
| Dec 31, 2025 | 10.30 Mn |
| Sep 30, 2025 | 10.70 Mn |
| Jun 30, 2025 | 9.40 Mn |
| Mar 31, 2025 | 9.30 Mn |
| Dec 31, 2024 | 9.30 Mn |
| Sep 30, 2024 | 8.90 Mn |
| Jun 30, 2024 | 7.70 Mn |
| Mar 31, 2024 | 7.30 Mn |
| Dec 31, 2023 | 7.20 Mn |
| Sep 30, 2023 | 6.90 Mn |
| Jun 30, 2023 | 6.90 Mn |
| Mar 31, 2023 | 7.40 Mn |
| Dec 31, 2022 | 7.20 Mn |
| Sep 30, 2022 | 6.30 Mn |
| Jun 30, 2022 | 5.60 Mn |
| Mar 31, 2022 | 4.10 Mn |
| Dec 31, 2021 | 4.30 Mn |
| Sep 30, 2021 | 5.30 Mn |
API Access
Atlassian Depreciation and Depletion 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=depreciation-and-depletion&ticker=TEAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=TEAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();