Atlassian (TEAM) Receivables (2017 - 2026)
Atlassian (TEAM) recorded Receivables of $1.27 billion in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 63.2% from $778.3 million a year earlier and up 39.9% from the prior quarter.
Atlassian (TEAM) Receivables (2017 - 2026) Analysis & Trends
Starting with fiscal Q4 2017, Atlassian's Receivables history includes 22 quarters.
- Annual Receivables has increased for nine straight fiscal years, with a five-year compound annual growth rate of 48.9% (FY2021 to FY2026).
- Across earlier fiscal years, Receivables came in at $778.3 million in FY2025 (+23.9%), $628.05 million in FY2024 (+31.5%), $477.68 million in FY2023 (+55.0%) and $308.13 million in FY2022 (+77.6%).
- The fiscal Q4 2026 figure is the highest quarterly Receivables in data going back to fiscal Q4 2017.
- On a year-over-year basis, Receivables has increased for five consecutive quarters, with growth averaging 29.2% over the last eight quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 86.5% in fiscal Q3 2024, against a decline of 0.6% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $907.44 million (Q3 2026), $911.92 million (Q2 2026) and $536.86 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 97.58 Bn | 72.83 Bn | 6.00 Bn | 2.15 Bn |
| 2 | Atlassian | 55.96 Bn | 49.24 Bn | 1.53 Bn | 1.27 Bn |
| 3 | Autodesk | 50.57 Bn | 38.61 Bn | 1.87 Bn | 684.00 Mn |
| 4 | Twilio | 39.35 Bn | 29.42 Bn | 725.87 Mn | 760.07 Mn |
| 5 | Zoom Communications | 28.55 Bn | -2.24 Bn | 985.50 Mn | 621.36 Mn |
| 6 | Figma | 11.38 Bn | 4.89 Bn | 309.61 Mn | 190.88 Mn |
| 7 | Dropbox | 8.07 Bn | 3.71 Bn | 506.50 Mn | 76.30 Mn |
| 8 | Nice | 7.10 Bn | 5.56 Bn | 995.81 Mn | 836.59 Mn |
| 9 | RingCentral | 6.67 Bn | 6.16 Bn | 472.31 Mn | 493.49 Mn |
| 10 | Open Text | 6.41 Bn | 1.84 Bn | 1.01 Bn | 828.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.27 Bn |
| Mar 31, 2026 | 907.44 Mn |
| Dec 31, 2025 | 911.92 Mn |
| Sep 30, 2025 | 536.86 Mn |
| Jun 30, 2025 | 778.30 Mn |
| Mar 31, 2025 | 642.04 Mn |
| Dec 31, 2024 | 695.66 Mn |
| Sep 30, 2024 | 484.12 Mn |
| Jun 30, 2024 | 628.05 Mn |
| Mar 31, 2024 | 646.08 Mn |
| Dec 31, 2023 | 526.38 Mn |
| Sep 30, 2023 | 368.26 Mn |
| Jun 30, 2023 | 477.68 Mn |
| Mar 31, 2023 | 346.35 Mn |
| Dec 31, 2022 | 354.84 Mn |
| Sep 30, 2022 | 246.78 Mn |
| Jun 30, 2022 | 308.13 Mn |
| Jun 30, 2021 | 173.47 Mn |
| Jun 30, 2020 | 112.02 Mn |
| Jun 30, 2019 | 82.53 Mn |
Atlassian Receivables 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=receivables&ticker=TEAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=TEAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();