Filing excerpt
We have credit risk primarily related to our consumer loans held for investment. We are exposed to default risk...
Affirm is exposed to significant credit and default risk on its $8.8 billion loan portfolio, which is susceptible to changing economic conditions. The company relies heavily on its proprietary underwriting models and a wide range of metrics to manage this risk, creating potential needs for advanced data analytics, AI/ML model validation, and alternative credit data solutions.
Filing excerpt
We have credit risk primarily related to our consumer loans held for investment. We are exposed to default risk...
What this signalsFilings often name leadership changes, deals and spending plans.
Technologies
sec-10qplatformStrategyGet every 10-Q signal for Affirm 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 Affirm this week?”
The Signal API returns 10-Q signals for any list of companies as JSON, for your CRM, warehouse or app.
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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/c1183e48-98ad-4c23-84ad-00c28dcaaffd returns this record as JSON. POST /v1/companies/enrich returns every signal for affirm.com.
{
"signal_id": "c1183e48-98ad-4c23-84ad-00c28dcaaffd",
"signal_type": "sec-10q",
"signal_subtype": "platformStrategy",
"detected_at": "2026-02-10T08:23:30.729+00:00",
"company": {
"name": "Affirm",
"domain": "affirm.com"
},
"data": {
"detail": "Affirm is exposed to significant credit and default risk on its $8.8 billion loan portfolio, which is susceptible to changing economic conditions. The company relies heavily on its proprietary underwriting models and a wide range of metrics to manage this risk, creating potential needs for advanced data analytics, AI/ML model validation, and alternative credit data solutions.",
"metrics": {
"timeframe": "current_quarter",
"dollar_context": "Credit risk exposure on loans held for investment as of Dec 31, 2025",
"dollar_millions": 8800
},
"summary": "Affirm actively managing credit risk on $8.8B loan portfolio using proprietary models",
"excerpts": "We have credit risk primarily related to our consumer loans held for investment. We are exposed to default risk...",
"relevance": 0.85,
"sentiment": "negative",
"confidence": "high",
"source_url": "https://www.sec.gov/Archives/edgar/data/1820953/000162828026005855/afrm-20251231.htm",
"filing_date": "2026-02-05",
"filing_year": 2026,
"fiscal_year": 0,
"fiscal_year_end": "12/31",
"sales_relevance": "Platform tools needed",
"signal_category": "strategic",
"technologies_mentioned": [
"proprietary underwriting models"
]
}
}
curl https://signals.autobound.ai/v1/signals/c1183e48-98ad-4c23-84ad-00c28dcaaffd \
-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":"affirm.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.