Filings naming Kubota Credit Corporation
Distinct filing numbers dated Sep. 1–Oct. 13, 2026.
For equipment finance companies
Turn UCC filing activity into a focused equipment-finance research feed.
UCCContacts helps originators, research teams, and data operations monitor named-provider activity, identify repeat-filing patterns, and deliver structured filing data into existing workflows.
What the data supports
Use the signal with the confidence level attached.
Filings naming Caterpillar Financial Services
Distinct filing numbers in the same window; do not add as a deduplicated total.
Strict repeat-debtor matches
Name, state, street, and ZIP keys linked to multiple filing numbers.
Debtor-state breadth in the recent dataset
Geographic breadth, not complete filing-office collection coverage.
Filing-date window: September 1–October 13, 2026, unless a card says September 2026. Measured October 14, 2026. Counts are distinct nonempty filing numbers after trimming and uppercasing, deduplicated across debtor rows. Filing numbers may not be unique across jurisdictions because the source has no filing-office jurisdiction field.
Built for your workflow
Move from a public filing to a focused research queue.
UCCContacts organizes filing activity into structured inputs your team can filter, review, and route into the systems it already uses.
Research named-provider activity
Filter exact secured-party field values and evaluate activity involving providers relevant to your market.
Prioritize repeat patterns
Identify normalized debtor and address matches linked to more than one filing number for further review.
Feed the tools your team uses
Pull current or historical records through the API, or receive current-month records in Google Sheets.
Representative demonstration
Review the record structure before connecting a feed.
A tailored sample can show the states, secured-party criteria, and record fields relevant to your origination or market-intelligence process.
| Debtor business | Debtor state | Filed | Secured party | Research signal |
|---|---|---|---|---|
| Northstar Equipment LLC | Florida | 09/18/2026 | Sample Equipment Finance Co. | New filing |
| Blue Harbor Logistics Inc. | Texas | 09/17/2026 | Example Commercial Credit LLC | Repeat-filing pattern identified |
| Summit Field Services LLC | Georgia | 09/16/2026 | Demonstration Capital Corp. | New filing |
Demonstration records are fictional and reuse the site’s approved sample format. They do not contain real businesses, filing numbers, contacts, or customer data.
Filters and delivery
Shape the feed around the work.
Focus the feed by filing date, debtor state, secured-party criteria, and repeat-filing signals. Provider-name counts establish coverage of those recorded names; they do not verify equipment collateral or product type for each filing.
Filing date Debtor state Secured party Repeat-filing signal Available record fields
API delivery
Pull current or historical records in CSV or JSON, using filters that fit your workflow.
Automated Google Sheets
Receive the current month’s backlog and new available records in a shared sheet, checked every 15 minutes.
Structured data
Work with debtor, filing, secured-party, and available enrichment fields in a consistent record format.
Method and limits
Provider coverage is not a collateral determination.
- Kubota and Caterpillar counts group exact normalized secured-party field values. Spelling variants, aliases, subsidiaries, and combined field values are not resolved.
- Named-provider counts are dataset coverage measures, not lender market share or verified equipment-finance transactions.
- The repeat-debtor method normalizes text and requires multiple distinct filing numbers. It does not establish the same legal entity, an active obligation, or financing demand.
- Debtor-state coverage describes the state recorded on debtor rows. The source does not provide a filing-office jurisdiction field, so it cannot establish collection coverage in every state.
- Data freshness follows source availability and ingestion. It is not perfectly real time and does not guarantee a sales outcome.
Evaluate your market
Start with records you can inspect.
Tell us the states, filters, fields, and delivery method you want to evaluate. We’ll prepare a relevant sample for your team.