Atlassian increased R&D expenses by $146.3 million year-over-year for the quarter, with a stated focus on building new apps, AI agents, and advancing artificial intelligence capabilities.
Filing excerpt
We continue to focus our research and development efforts on building new apps, and AI agents, adding new features and services, integrating acquired technologies, increasing functionality, enhancing our Cloud infrastructure, and advancing our artificial intelligence capabilities.
What this signalsFilings often name leadership changes, deals and spending plans.
Technologies
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This page shows a preview. The full sec-10q record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.
Company
linkedin_urlValue in the APIindustriesValue in the APIemployee_count_lowValue in the APIemployee_count_highValue in the APIrevenueValue in the APIdescriptionValue in the APISignal
signal_nameValue in the APIassociationValue in the APIGET /v1/signals/4328bd49-1086-4a74-9ec8-b79fc52a9ea0 returns this record as JSON. POST /v1/companies/enrich returns every signal for atlassian.com.
{
"signal_id": "4328bd49-1086-4a74-9ec8-b79fc52a9ea0",
"signal_type": "sec-10q",
"signal_subtype": "platformStrategy",
"detected_at": "2026-02-10T08:22:24.824+00:00",
"company": {
"name": "Atlassian",
"domain": "atlassian.com"
},
"data": {
"detail": "Atlassian increased R&D expenses by $146.3 million year-over-year for the quarter, with a stated focus on building new apps, AI agents, and advancing artificial intelligence capabilities. This massive investment indicates significant budget for AI/ML platforms, developer tools, and underlying cloud infrastructure to support this strategic initiative.",
"metrics": {
"pct": 0.22,
"timeframe": "current_quarter",
"pct_context": "YoY increase in R&D expenses for the quarter",
"dollar_context": "Increase in R&D expenses for the quarter YoY",
"dollar_millions": 146.3
},
"summary": "R&D spending increased 22% YoY to $826M, focused on building AI agents and new apps",
"excerpts": "We continue to focus our research and development efforts on building new apps, and AI agents, adding new features and services, integrating acquired technologies, increasing functionality, enhancing our Cloud infrastructure, and advancing our artificial intelligence capabilities.",
"relevance": 0.8,
"sentiment": "positive",
"confidence": "high",
"source_url": "https://www.sec.gov/Archives/edgar/data/1650372/000165037226000011/team-20251231.htm",
"filing_date": "2026-02-06",
"filing_year": 2026,
"fiscal_year": 0,
"fiscal_year_end": "12/31",
"sales_relevance": "Platform tools needed",
"signal_category": "strategic",
"technologies_mentioned": [
"AI",
"AI agents",
"Cloud"
]
}
}
curl https://signals.autobound.ai/v1/signals/4328bd49-1086-4a74-9ec8-b79fc52a9ea0 \
-H "X-API-KEY: $AUTOBOUND_API_KEY"curl -X POST https://signals.autobound.ai/v1/companies/enrich \
-H "X-API-KEY: $AUTOBOUND_API_KEY" \
-H "Content-Type: application/json" \
-d '{"domain":"atlassian.com","limit":20}'Long text fields are shortened on this page.
Looking up one signal by its id is free. Enrich costs 2 credits per signal returned; a call with no results is free.