John Hancock Income Securities Trust - Charts and Resources

Data discoverability for John Hancock Income Securities Trust updated as of 2025-09-26.
2025-09-26

Quick Answer

What is John Hancock Income Securities Trust? A US commercial mortgage-backed security.

Identifiers: .

Unique value: Dealcharts provides computed pool metrics, time-series performance analysis, and cross-deal comparisons not available in raw SEC EDGAR filings.

Sources: SEC EDGAR public filings.

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🚗 Auto ABS
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Fund Overview

Fund NameJohn Hancock Income Securities Trust
Fund LEI549300RB36J7QSFLWG11
Fund FIGISearch FIGI
Fund ID

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
$2,817,645
Number of Holdings
15
Asset Types
2
Average Position Size
$187,843

Asset Distribution

CMBS
27.5%
AUTO
72.5%
Filing Date
Sep 26, 2025
Report Date
Oct 31, 2025

CMBS Holdings

Explore a list of CMBS deals held by this fund, sourced directly from the most recent NPORT-P filings on EDGAR SEC.gov.
DealFiling DateTranchesTotal ValueReporting PeriodDistress Signals
BMARK 2024-V122025-09-26A-3$226,4852025-10-31
WFCM 2025-5C42025-09-26A-3$139,9992025-10-31
BBCMS 2020-C62025-09-26A-2$103,8002025-10-31
3
BMO 2024-5C82025-09-26A-3$70,0732025-10-31
BBCMS 2024-5C312025-09-26A-3$68,1702025-10-31
BBCMS 2024-5C292025-09-26A-3$64,0362025-10-31
1
BBCMS 2019-C52025-09-26A-2$63,3412025-10-31
2
COMM 2018-COR32025-09-26X-A$38,2752025-10-31
4
DealTranchesTotal Value
BMARK 2024-V12
2025-10-31		A-3$226,485
WFCM 2025-5C4
2025-10-31		A-3$139,999
BBCMS 2020-C6
2025-10-31		A-2$103,800
BMO 2024-5C8
2025-10-31		A-3$70,073
BBCMS 2024-5C31
2025-10-31		A-3$68,170
BBCMS 2024-5C29
2025-10-31		A-3$64,036
BBCMS 2019-C5
2025-10-31		A-2$63,341
COMM 2018-COR3
2025-10-31		X-A$38,275
* 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.

Auto ABS Holdings

Explore a list of Auto ABS deals held by this fund, sourced directly from the most recent NPORT-P filings on EDGAR SEC.gov.
DealFiling DateTranchesTotal ValueReporting PeriodDistress Signals
MBART 2022-12025-09-26$504,4622025-10-31
ALLYA 2022-32025-09-26$501,8652025-10-31
GMCAR 2023-12025-09-26$290,5522025-10-31
MBART 2023-12025-09-26$289,6132025-10-31
FORDR 2022-D2025-09-26$180,0872025-10-31
FORDL 2023-B2025-09-26$175,6452025-10-31
CARMX 2023-32025-09-26$101,2422025-10-31
DealTranchesTotal Value
MBART 2022-1
2025-10-31		$504,462
ALLYA 2022-3
2025-10-31		$501,865
GMCAR 2023-1
2025-10-31		$290,552
MBART 2023-1
2025-10-31		$289,613
FORDR 2022-D
2025-10-31		$180,087
FORDL 2023-B
2025-10-31		$175,645
CARMX 2023-3
2025-10-31		$101,242
* 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.

Context & Commentary#

Expert analysis, research, and commentary from verified entities and contributors.

Entity Statements

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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/549300RB36J7QSFLWG11
API Documentation →
Structured Facts (JSON-LD)Machine-readable facts for LLMs, research, and automation.
{
  "fund_name": "John Hancock Income Securities Trust",
  "fund_lei": "549300RB36J7QSFLWG11",
  "total_holdings": 15,
  "total_value": 2817644.76,
  "asset_types": [
    "CMBS",
    "AUTO"
  ],
  "filing_date": "2025-09-26"
}
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.