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Public snapshot

ESG Income Quality Score

FlexShares STOXX US ESG Select Index Fund (ESG) has an Income Quality Score of 90/100, classified as a Friend with high confidence, based on a 10-year income and total-return history.

FlexShares STOXX US ESG Select Index Fund (ESG) is a closed-end fund and is part of the IQ Score universe.

July 2026 snapshotAs of July 31, 2026Lookback: 10-year
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Long-term focused10-year income and total-return analysis
Data-drivenObjective scoring across 4 quality, distribution and risk signals
Clear classificationFriends to own. Foes to avoid.
IQ Score
90/100
FriendHigh confidence
Asset Type
CEF
Exchange
BATS
Trailing Yield (TTM)
Not published
No normalized trailing yield is published for closed-end funds in this snapshot.
Rank in CEF Universe
5 of 358
Lookback
10-year
Data as of
July 31, 2026
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About this snapshot
This is the public July 2026 snapshot. Public snapshots are delayed and frozen: once released, a month's scores do not change, and current data is reserved for members. The July 2026 snapshot is published as the public launch snapshot.
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ESGFlexShares STOXX US ESG Select Index Fund
90FriendHigh confidence
Snapshot
2026-07
Data as of
2026-07-31
Lookback
10-year
Asset type
Closed-End Fund

IQ Score History

6535FRIENDQUESTION MARKFOE050100Methodology updatedMethodology updated on 2026-07-31 (iq-4class-v1 → iq-4class-v3-direct-dist)2026-072026-072026-072026-07-17 · 90.2 · Friend · Published Snapshot History · iq-4class-v12026-07-20 · 90.2 · Friend · Published Snapshot History · iq-4class-v12026-07-21 · 90.3 · Friend · Published Snapshot History · iq-4class-v12026-07-22 · 90.3 · Friend · Published Snapshot History · iq-4class-v12026-07-23 · 90.2 · Friend · Published Snapshot History · iq-4class-v12026-07-24 · 90.2 · Friend · Published Snapshot History · iq-4class-v12026-07-27 · 90.3 · Friend · Published Snapshot History · iq-4class-v12026-07-28 · 90.3 · Friend · Published Snapshot History · iq-4class-v12026-07-29 · 90.2 · Friend · Published Snapshot History · iq-4class-v12026-07-30 · 90.3 · Friend · Published Snapshot History · iq-4class-v12026-07-31 · 90.3 · Friend · Published Snapshot History · iq-4class-v3-direct-dist6535FRIENDQUESTION MARKFOE050100Methodology updated on 2026-07-31 (iq-4class-v1 → iq-4class-v3-direct-dist)2026-072026-07

Reconstructed monthly scores are computed from current data and methodology. Published snapshots are the frozen monthly releases, marked on the line. Where the methodology changed, the line is broken rather than joined across the change.

Signals & Drivers

IQ signal scores

Each signal is normalised to 0–100 and combined by weight into the overall IQ Score.

Economic Payout Coverage
100/100
Working Capital Preservation
87/100
Distribution Cut Score
100/100
Distribution Trend
46/100

What is working

  • Economic return covers long-term payout
  • Working capital preserved over time
  • No material annual distribution decline across 9 full years of data

Distribution Safety

7Years raised
0Years cut
11Years of data
DownCurrent trend

High confidence (10-year history)

  1. 20160.4848Held
  2. 20170.9692Raised
  3. 20181.0242Raised
  4. 20191.1645Raised
  5. 20201.2162Raised
  6. 20211.1964Lower total
  7. 20221.2645Raised
  8. 20231.2802Raised
  9. 20241.6254Raised
  10. 20251.5196Lower total
  11. 20260.6884Partial year

Distributions per year, from the frozen distribution-stability signal. “Lower total” means the calendar-year sum was smaller than the prior year (often a special-distribution rolloff or timing shift), but did not decline more than the engine's 10% material-decline threshold — see Years Cut above for years that did.

The IQ Score is a research classification of historical income quality. It is not investment advice, not a recommendation and not a prediction of future returns.

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IQ Score is a long-duration quality and distribution-safety classification for income assets. It is research based on historical data, not personal investment advice, and it does not tell you what to buy or sell. Figures reflect a delayed public snapshot and may differ from current data.