Skip to main content
Assurant10-Q: Data investment

Assurant's core business relies on complex modeling for financial and catastrophe risks.

What happened

The company conducts periodic asset-liability studies and manages a $181.7M catastrophe reinsurance program, both dependent on sophisticated data models.

Source

SEC EDGARAug 6, 2026

Quarterly report (Form 10-Q)

Assurant 10-Q

Filing excerpt

We conduct periodic asset liability studies to measure the duration of our insurance liabilities, to develop optimal asset portfolio maturity structures for our significant lines of business...

sec.gov/Archives/edgar/data/1267238/000126723826000041/aiz-20260630.htmRead the full source

Other signals in this filing (7)

Extracted by Autobound

From the Signal API record
Signal
10-Q: Data investment

What this signalsFilings often name leadership changes, deals and spending plans.

Fiscal year end
06/30
Filed
Aug 6, 2026

More 10-Q signals at other companies

The full record

From the Signal API record

Numbers

Dollar figure
$182M (Estimated 2026 pre-tax reinsurance premiums)

Details

CIK
1267238
Accession number
0001267238-26-000041
Timeframe
Current year
Filing year
2026
Fiscal year
0
Why it matters
Target for data vendors
Signal category
Technology

Topics and mentions

Technologies

  • modeling

Vendors

  • A.M. Best

Regions named

  • Florida

Extraction

Confidence
High
Relevance
90%
Sentiment
Neutral
Detected
Aug 11, 2026
signal_type
sec-10q
signal_subtype
dataInvestment

Use this data

Get every 10-Q signal for Assurant and the companies you sell to, in the tools you already use.

  1. Ask Claude about it

    Connect Autobound to Claude, Claude Code or Cursor with MCP. Then ask: “What changed at Assurant this week?”

  2. Send it to your own tools

    The Signal API returns 10-Q signals for any list of companies as JSON, for your CRM, warehouse or app.

  3. Try it free

    Sign up and spend your free credits on the companies you sell to.

    Start Free1,000 free credits

The API returns more than this page shows

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 API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/8de46397-677a-471b-bb86-a79d534f3227 returns this record as JSON. POST /v1/companies/enrich returns every signal for assurant.com.

{
  "signal_id": "8de46397-677a-471b-bb86-a79d534f3227",
  "signal_type": "sec-10q",
  "signal_subtype": "dataInvestment",
  "detected_at": "2026-08-11T08:11:22.93+00:00",
  "company": {
    "name": "Assurant",
    "domain": "assurant.com"
  },
  "data": {
    "detail": "The company conducts periodic asset-liability studies and manages a $181.7M catastrophe reinsurance program, both dependent on sophisticated data models. Acknowledged risks that models may differ from actual results present an opportunity for vendors with advanced analytics, AI, or data platforms to improve risk management and financial optimization.",
    "metrics": {
      "timeframe": "current_year",
      "dollar_context": "Estimated 2026 pre-tax reinsurance premiums",
      "dollar_millions": 181.7
    },
    "summary": "Assurant's core business relies on complex modeling for financial and catastrophe risks.",
    "excerpts": "We conduct periodic asset liability studies to measure the duration of our insurance liabilities, to develop optimal asset portfolio maturity structures for our significant lines of business...",
    "relevance": 0.9,
    "sentiment": "neutral",
    "confidence": "high",
    "source_url": "https://www.sec.gov/Archives/edgar/data/1267238/000126723826000041/aiz-20260630.htm",
    "filing_date": "2026-08-06",
    "filing_year": 2026,
    "fiscal_year": 0,
    "fiscal_year_end": "06/30",
    "sales_relevance": "Target for data vendors",
    "signal_category": "technology",
    "regions_mentioned": [
      "Florida"
    ],
    "vendors_mentioned": [
      "A.M. Best"
    ],
    "technologies_mentioned": [
      "modeling"
    ]
  }
}

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.