CLO Deal Data
Semeris turns CLO documents into structured, analyst-verified CLO deal data — 400+ datapoints per deal across 2,000+ US and 893 EU CLOs — that you can search, compare across the market, and pull live into Excel. The CLO deal data that lives in the documents, not just the tape.
The CLO data that's usually missing
Plenty of sources give you CLO pricing and performance data. Far fewer give you the document data — the covenants, OC and IC tests, LMO mechanics, concentration limits, eligibility criteria and reinvestment rules that actually govern a deal. That data is locked inside indentures. Semeris is the layer that turns it into clean, queryable CLO deal data: every term extracted, analyst-verified, and traceable to the exact language it came from.
What Semeris CLO deal data covers
- 400+ analyst-verified datapoints per deal — defined terms, sections, formula-based fields and custom datapoints you define.
- Market-wide coverage — 2,000+ US and 893 EU CLO deals, continuously updated across both markets.
- 10M+ paragraphs of CLO documents, searchable in sub-second time.
- DvES data — the Debt vs Equity Score across 3,300+ CLO structures, roughly 90% of the US and EU BSL CLO market.
- Credit agreement data too — the same structured-data approach now extends to credit agreements in your own workspace.
How to get CLO deal data out of Semeris
- Live into Excel. The Excel add-in pulls CLO deal data straight into your models with a formula, refreshing as the market moves — no copy-paste.
- Compare across the market. Plot any datapoint across hundreds of deals to see distributions and outliers.
- Your own workspace. Upload deals into a private, permissioned library and extract data on your own terms.
Every figure carries 96% extraction accuracy and 100% analyst verification — CLO data you can take into a credit committee, with the source one click away.
Who uses it
CLO portfolio managers, investors, arrangers, research and data teams — anyone who needs CLO deal terms as reliable, structured data rather than PDFs.
See the CLO deal data on your own deals — request a demo.
FAQ
What CLO data does Semeris provide? Semeris provides structured, analyst-verified CLO deal data extracted from the documents themselves: 400+ datapoints per deal covering covenants, OC and IC tests, LMO mechanics, concentration limits, eligibility criteria and reinvestment rules, across 2,000+ US and 893 EU CLOs. It also provides the DvES debt-vs-equity data across 3,300+ structures. This is document-level CLO data — the terms that govern a deal — not just pricing or performance figures.
Where can I get CLO deal data? Semeris is a source of document-level CLO deal data. You access it inside the platform, pull it live into Excel via the add-in, compare any datapoint across the market, or extract data from your own deals in a private workspace. Every datapoint is analyst-verified and links back to its source language.
How do I get structured data from CLO documents? Semeris extracts structured data from CLO indentures and related documents — defined terms, sections, formula-based fields and custom datapoints — with 96% accuracy and 100% analyst verification. The result is clean, comparable CLO deal data you can query, benchmark across the market, and pipe into Excel, instead of reading PDFs.
Is Semeris a CLO data provider? Yes — Semeris provides CLO deal data derived from the primary documents, with analyst verification and full source traceability. It differs from market-data feeds by focusing on the terms locked inside indentures and credit agreements, turning them into structured, queryable data.
How many CLO deals are in the Semeris data library? Semeris covers 2,000+ US CLO deals and 893 EU deals, updated continuously across both markets, with DvES data spanning 3,300+ CLO structures — about 90% of the US and EU BSL CLO market.
Does Semeris provide credit agreement data? Yes. The same structured-data extraction now extends to credit agreements: upload them into your workspace and Semeris turns them into analyst-verified, source-traceable data, with clustering to reveal lender exposure across the portfolio.