Filing excerpt
The Company has evaluated its holdings and identified investments in areas such as commercial real estate and highly leveraged companies as the most exposed to continued high interest rates and an economic downturn.
The company is concerned about credit losses and downgrades in its commercial real estate and highly leveraged company investments due to high interest rates. This pressure creates a need for advanced portfolio analytics, credit risk modeling, and stress-testing platforms to better manage exposure and make informed decisions on holding or liquidating assets.
Filing excerpt
The Company has evaluated its holdings and identified investments in areas such as commercial real estate and highly leveraged companies as the most exposed to continued high interest rates and an economic downturn.
What this signalsFilings often name leadership changes, deals and spending plans.
sec-10kdataInvestmentGet every 10-K signal for Aflac 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 Aflac this week?”
The Signal API returns 10-K 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-10k 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/18ad5b2a-e7ed-4b26-b381-2d2664bc6479 returns this record as JSON. POST /v1/companies/enrich returns every signal for aflac.com.
{
"signal_id": "18ad5b2a-e7ed-4b26-b381-2d2664bc6479",
"signal_type": "sec-10k",
"signal_subtype": "dataInvestment",
"detected_at": "2026-03-03T05:53:06.651+00:00",
"company": {
"name": "Aflac",
"domain": "aflac.com"
},
"data": {
"detail": "The company is concerned about credit losses and downgrades in its commercial real estate and highly leveraged company investments due to high interest rates. This pressure creates a need for advanced portfolio analytics, credit risk modeling, and stress-testing platforms to better manage exposure and make informed decisions on holding or liquidating assets.",
"summary": "Aflac identifies commercial real estate and leveraged company investments as highly exposed to economic downturn",
"excerpts": "The Company has evaluated its holdings and identified investments in areas such as commercial real estate and highly leveraged companies as the most exposed to continued high interest rates and an economic downturn.",
"relevance": 0.8,
"sentiment": "negative",
"confidence": "high",
"source_url": "https://www.sec.gov/Archives/edgar/data/4977/000162828026011402/afl-20251231.htm",
"filing_date": "2026-02-25",
"filing_year": 2026,
"fiscal_year_end": "12/31",
"sales_relevance": "Target for data vendors",
"signal_category": "technology"
}
}
curl https://signals.autobound.ai/v1/signals/18ad5b2a-e7ed-4b26-b381-2d2664bc6479 \
-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":"aflac.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.