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Ategrity Specialty Insurance (ASIC) guidance and outlook
Ategrity Specialty Insurance's 10-Q filed Nov 5, 2026 makes 4 forward-looking statements.
Guidance and outlook
Forward-looking statements, 10-Q filed Nov 5, 2026
- We measure exposure to these catastrophe losses in terms of Probable Maximum Loss (“PML”), which is an estimate of what level of loss we would expect to experience in a windstorm or earthquake event occurring once in every 100 or 250 years.
- Failure of the reinsurer to honor its obligation could result in losses to us, and therefore, we evaluate the need for an allowance for expected credit losses based on historical analysis of credit losses for highly rated companies in the insurance industry.
- We identified accounting policies and estimates that involve a high degree of judgment and complexity which we believe are the most critical to understanding and evaluating our financial condition and results of our operations.
- For so long as we remain an emerging growth company, we are permitted and intend to rely on certain exemptions from various public company reporting requirements, including not being required to have our internal control over financial reporting audited by our independent registered public accounting firm pursuant to Section 404 of the Sarbanes-Oxley Act, reduced disclosure obligations regarding executive…
Ategrity Specialty Insurance's latest quarter
Ategrity Specialty Insurance, Q3 2026: revenue $126M (+8% year over year), operating margin 11.6%, net earnings $14.6M, operating cash flow $73.7M. The chart follows the revenue to costs, profit and cash.
Questions
What does Ategrity Specialty Insurance expect?
We measure exposure to these catastrophe losses in terms of Probable Maximum Loss (“PML”), which is an estimate of what level of loss we would expect to experience in a windstorm or earthquake event occurring once in every 100 or 250 years. Failure of the reinsurer to honor its obligation could result in losses to us, and therefore, we evaluate the need for an allowance for expected credit losses based on historical analysis of credit losses for highly rated companies in the insurance industry. We identified accounting policies and estimates that involve a high degree of judgment and complexit
Updated Nov 8, 2026. Read automatically from SEC filings and public data; errors are possible. Not investment advice.