The company's residential mortgage portfolio is heavily concentrated in California (20%) and Florida (18%), making it vulnerable to climate events like wildfires and hurricanes. This exposure could lead to increased credit loss provisions and necessitates sophisticated geographic risk modeling.
Filing excerpt
The occurrence of a natural disaster or severe weather event in any of these states, for example wildfires in California and hurricanes in Florida, could result in additional credit loss provisions and/or charge-offs on our loans in such states and therefore negatively impact our net income and regulatory capital in any given period.
What this signalsFilings often name leadership changes, deals and spending plans.
Regions named
sec-10qenvironmentalLiabilityGet every 10-Q signal for Raymond James Financial and the companies you sell to, in the tools you already use.
Connect Autobound to Claude, Claude Code or Cursor with MCP. Then ask: “What changed at Raymond James Financial this week?”
The Signal API returns 10-Q signals for any list of companies as JSON, for your CRM, warehouse or app.
Sign up and spend your free credits on the companies you sell to.
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/38109a75-ca64-481c-a466-fc7de984d117 returns this record as JSON. POST /v1/companies/enrich returns every signal for raymondjames.com.
{
"signal_id": "38109a75-ca64-481c-a466-fc7de984d117",
"signal_type": "sec-10q",
"signal_subtype": "environmentalLiability",
"detected_at": "2026-05-12T09:24:56.238+00:00",
"company": {
"name": "Raymond James Financial",
"domain": "raymondjames.com"
},
"data": {
"detail": "The company's residential mortgage portfolio is heavily concentrated in California (20%) and Florida (18%), making it vulnerable to climate events like wildfires and hurricanes. This exposure could lead to increased credit loss provisions and necessitates sophisticated geographic risk modeling.",
"metrics": {
"pct": 0.2,
"timeframe": "current_quarter",
"pct_context": "California residential mortgage loans as a percentage of total residential mortgage loans held for sale and investment."
},
"summary": "RJF flags credit loss risk from high mortgage concentration in CA (20%) and FL (18%).",
"excerpts": "The occurrence of a natural disaster or severe weather event in any of these states, for example wildfires in California and hurricanes in Florida, could result in additional credit loss provisions and/or charge-offs on our loans in such states and therefore negatively impact our net income and regulatory capital in any given period.",
"relevance": 0.8,
"sentiment": "negative",
"confidence": "high",
"source_url": "https://www.sec.gov/Archives/edgar/data/720005/000072000526000051/rjf-20260331.htm",
"filing_date": "2026-05-06",
"filing_year": 2026,
"fiscal_year": 0,
"fiscal_year_end": "03/31",
"sales_relevance": "ESG/compliance tools needed",
"signal_category": "risk",
"regions_mentioned": [
"California",
"Florida"
]
}
}
curl https://signals.autobound.ai/v1/signals/38109a75-ca64-481c-a466-fc7de984d117 \
-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":"raymondjames.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.