Columbia Ultra Short Term Bond Fund - Charts and Resources
Data discoverability for Columbia Ultra Short Term Bond Fund updated as of 2025-09-24.2025-09-24
Context Brief
- What it is: A 2025-vintage CMBS transaction issued by Columbia Ultra Short Term Bond Fund, backed by — loans across — commercial properties, totaling — in collateral. Structured as a multi-borrower conduit deal.
- What's notable: Coming Soon
- Key identifiers: CIK — | Shelf — | Series — | Issued 2025-Q1
- Verify: Review source filings in Deal Documents, or confirm entity ownership via Verified Profiles.
Fund Overview
Fund NameColumbia Ultra Short Term Bond Fund
Fund LEI549300JV121JJZBJ3L59
Fund FIGISearch FIGI
Fund ID
S000027194
Fund Metrics
Key metrics and portfolio distribution for the fund's structured product holdings. Note: These metrics only reflect the holdings we track and may not represent the fund's complete portfolio.Portfolio Summary
Total Value
$30,318,565Number of Holdings
12Asset Types
1Average Position Size
$2,526,547Asset Distribution
CMBS
100.0%Filing Date
Sep 24, 2025Report Date
Jul 31, 2025CMBS Holdings
Explore a list of CMBS deals held by this fund, sourced directly from the most recent NPORT-P filings on EDGAR SEC.gov.| Deal | Filing Date | Tranches | Total Value | Reporting Period | Distress Signals |
|---|---|---|---|---|---|
| DBJPM 2016-C1 | 2025-09-24 | A-5 | $6,534,520 | 2025-07-31 | |
| CD 2017-CD4 | 2025-09-24 | A-SB | $5,284,554 | 2025-07-31 |  |
| CD 2017-CD6 | 2025-09-24 | A-SB | $4,092,889 | 2025-07-31 | |
| WFCM 2018-C45 | 2025-09-24 | A-SB | $3,548,880 | 2025-07-31 | |
| WFCM 2016-C33 | 2025-09-24 | A-3 | $2,416,021 | 2025-07-31 | |
| UBSCM 2017-C3 | 2025-09-24 | A-SB | $2,361,788 | 2025-07-31 | |
| MSBAM 2016-C31 | 2025-09-24 | A-SB | $1,357,929 | 2025-07-31 | |
| WFCM 2016-BNK1 | 2025-09-24 | A-2 | $1,330,571 | 2025-07-31 | |
| JPMCC 2016-JP4 | 2025-09-24 | A-SB | $1,238,703 | 2025-07-31 | |
| CFCRE 2017-C8 | 2025-09-24 | A-SB | $1,072,732 | 2025-07-31 | |
| MSBAM 2015-C27 | 2025-09-24 | A-3 | $637,602 | 2025-07-31 | |
| WFCM 2016-LC25 | 2025-09-24 | A-SB | $442,376 | 2025-07-31 |
| Deal | Tranches | Total Value |
|---|---|---|
| DBJPM 2016-C1 2025-07-31 | A-5 | $6,534,520 |
| CD 2017-CD4 2025-07-31 | A-SB | $5,284,554 |
| CD 2017-CD6 2025-07-31 | A-SB | $4,092,889 |
| WFCM 2018-C45 2025-07-31 | A-SB | $3,548,880 |
| WFCM 2016-C33 2025-07-31 | A-3 | $2,416,021 |
| UBSCM 2017-C3 2025-07-31 | A-SB | $2,361,788 |
| MSBAM 2016-C31 2025-07-31 | A-SB | $1,357,929 |
| WFCM 2016-BNK1 2025-07-31 | A-2 | $1,330,571 |
| JPMCC 2016-JP4 2025-07-31 | A-SB | $1,238,703 |
| CFCRE 2017-C8 2025-07-31 | A-SB | $1,072,732 |
| MSBAM 2015-C27 2025-07-31 | A-3 | $637,602 |
| WFCM 2016-LC25 2025-07-31 | A-SB | $442,376 |
* This table is not yet exhaustive. It is a new feature and contains only the funds we have found so far based on the tranche identifiers we know about. We are still working on it!
* Reporting Period represents the reporting period end date from the NPORT-P filing.
* For full disclosures, please visit our disclosures page.
* Reporting Period represents the reporting period end date from the NPORT-P filing.
* For full disclosures, please visit our disclosures page.
Context & Commentary#
Expert analysis, research, and commentary from verified entities and contributors.Entity Statements
No entity statements available yet for this fund.Are you associated with this fund? Verify your entity and add your perspective.
External Analysis
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Datasets & API#
Access the raw data behind this fund page through multiple channels: REST API or direct downloads.REST APIProgrammatic access to fund holdings, positions, and metadata.
GET /api/funds/549300JV121JJZBJ3L59
Structured Facts (JSON-LD)Machine-readable facts for LLMs, research, and automation.
{
"fund_name": "Columbia Ultra Short Term Bond Fund",
"fund_lei": "549300JV121JJZBJ3L59",
"total_holdings": 12,
"total_value": 30318564.94000001,
"asset_types": [
"CMBS"
],
"filing_date": "2025-09-24"
}Data StewardshipAll data on this page is sourced from public SEC NPORT-P filings and transformed into structured, analyzable datasets. We verify accuracy through automated checks and community feedback.Found an issue? Report it and help us improve data quality for everyone.