The company has experienced financial losses from bad debt and chargebacks due to credential sharing, credit card fraud, and abuse of its education offerings. This indicates a weakness in user verification and payment security controls, creating a need for fraud prevention and identity management solutions.
Filing excerpt
we have experienced instances of credential sharing, abuse of our Figma for Education offerings, credit card fraud, and other instances of misuse or fraud on our platform that resulted in bad debt, chargebacks, or other losses to us.
What this signalsFilings often name leadership changes, deals and spending plans.
Technologies
Vendors
Regions named
Vendors named
sec-10kinternalControlWeaknessGet every 10-K signal for Figma and the companies you sell to, in the tools you already use.
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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/37217a0a-a706-4834-ab4b-7f51d998d663 returns this record as JSON. POST /v1/companies/enrich returns every signal for figma.com.
{
"signal_id": "37217a0a-a706-4834-ab4b-7f51d998d663",
"signal_type": "sec-10k",
"signal_subtype": "internalControlWeakness",
"detected_at": "2026-02-24T09:30:01.093+00:00",
"company": {
"name": "Figma",
"domain": "figma.com"
},
"data": {
"detail": "The company has experienced financial losses from bad debt and chargebacks due to credential sharing, credit card fraud, and abuse of its education offerings. This indicates a weakness in user verification and payment security controls, creating a need for fraud prevention and identity management solutions.",
"metrics": {
"timeframe": "current_year"
},
"summary": "Figma reports financial losses from credit card fraud and platform abuse.",
"excerpts": "we have experienced instances of credential sharing, abuse of our Figma for Education offerings, credit card fraud, and other instances of misuse or fraud on our platform that resulted in bad debt, chargebacks, or other losses to us.",
"relevance": 0.9,
"sentiment": "negative",
"confidence": "high",
"source_url": "https://www.sec.gov/Archives/edgar/data/1579878/000162828026009228/fig-20251231.htm",
"filing_date": "2026-02-18",
"filing_year": 2026,
"fiscal_year_end": "12/31",
"sales_relevance": "Compliance monitoring needed",
"signal_category": "risk",
"regions_mentioned": [
"United States",
"European Economic Area",
"UK"
],
"vendors_mentioned": [
"Payload CMS, Inc.",
"Weavy Inc."
],
"technologies_mentioned": [
"AI",
"multi-factor authentication",
"data encryption"
]
}
}
curl https://signals.autobound.ai/v1/signals/37217a0a-a706-4834-ab4b-7f51d998d663 \
-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":"figma.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.