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ANALYTICS
AnalysisScreenerGroups

Selection

Selected (1/4)

NARAG

Seeded with the selected fund at 100%

Benchmark

Pick one fund or composite — returns and exposures render in excess of it

Peer Universe

Reference set for percentile ranks and factor bars

Equity Funds · 5,640 total

ANALYTICS
AnalysisScreenerGroups

NARAG

Sector

iShares FTSE NAREIT All Equity REIT Index Fund

AUM
$2B
Time Series

Performance

No return history for NARAG (iShares FTSE NAREIT All Equity REIT Index Fund). The returns, correlation and regression cards are hidden.
SnapshotAs ofvsⓘ

Fund ProfileSector

Registrant
Type
ETF
Asset Class
Equity
Region
Equity Size & Style
Peer Group Benchmark
Peer Group
Sector - Real Estate (US) (98 peers)
AUM
$2B
Holdings (Reported)
133
Equity
100%
Derivatives
0%
Net Equity Exposure
100%
ⓘ Methodology

Expense ratio and its components from the prospectus fee table, else the SEC annual shareholder report, else market data. AUM as of 7/31/2026. Holdings, asset class, style, peer group and exposures as of 7/31/2026.

Equity Size & Style Map

LargeMidSmall
-
14%
27%
3%
20%
17%
2%
13%
5%
Large
ValueCoreGrowth
Size
Large
41%
Mid
40%
Small
20%
Style
Value
5%
Core
46%
Growth
48%
ⓘ Methodology

Equity size and style definitions. Size: each holding is scored against its own market's size curve — Large above $61.7B in the US and $21.4B elsewhere, Small below $10.8B worldwide — and a fund sits at the weighted average of its holdings. Style: each holding's Traditional Value score is ranked against stocks of the same region and size, and a fund sits at the weighted average of those ranks. Both are relative measures — where a holding stands among comparable stocks, not an absolute threshold. The dollar lines are recomputed from total market capitalisation each time the data is refreshed; the shares of the market they mark are what stay fixed. Cell shading and percentages: share of classified holdings weight per box. The grid and the dot are built from one set of per-holding scores — the dot is their weighted average — so they describe the same book at two levels of detail. The Size and Style bars are the grid's row and column totals. Holdings as of 7/31/2026. Stock-level data as of 8/31/2026.

Composite FactorsRef: Equity Funds

Intangible Value6.5
Traditional Value36.6
Small-Cap61.7
Quality14.9
Momentum18.9
ⓘ Methodology

Hover or click for factor definitions. Weighted average of underlying company-level values with weights equal to position size. Ranked within the clean equity fund universe, one entry per fund series (lowest: 0, highest: 100; the middle of the range is denser than the ends). Blue dots mark the fund; the shaded band spans the Equity Funds class 25th–75th percentile of scores, notched at the median. Holdings as of 7/31/2026. Stock-level data as of 8/31/2026.

Factor DetailsRef: Equity Funds

Valuation
Book-to-Price (NTM)37.7
Sales-to-Price (NTM)14.4
Earnings-to-Price (NTM)2.6
Innovation/IP
R&D / Mkt Cap0
Patents / Mkt Cap0.008
Brand
Sales & Marketing / Mkt Cap0.49
Trademarks / Mkt Cap0.02
Human Capital
PhD Employees / Mkt Cap0.63
Top University Alumni / Mkt Cap2.6
Politics
Lobbying Spend / Mkt Cap8.5
AI
AI Employees / Mkt Cap0.10
ⓘ Methodology

Hover or click for factor definitions. Weighted average of underlying company-level values with weights equal to position size. Solid blue dots mark the fund's position within the clean equity fund universe (5th–95th percentile scale); the shaded band spans the fund's broad class (Equity Funds) 25th–75th percentile, notched at the median. Holdings as of 7/31/2026. Stock-level data as of 8/31/2026. AUM as of 7/31/2026.

Country Exposure

Level
100.0%
100.0%
ⓘ Methodology

Holdings as of 7/31/2026. Stock-level data as of 8/31/2026.

Sector Exposure

Level
100.0%
ⓘ Methodology

Holdings as of 7/31/2026. Stock-level data as of 8/31/2026.

Thematic Exposure

AI Composition

Infrastructure10.8%
Early Adopter0.9%
Laggard88.2%

Magnificent 7

Magnificent 70.0%
Non-Magnificent 7100.0%

Old vs New Economy

Old Economy100.0%
New Economy0.0%

Globalization

Multinational14.4%
Exporter0.2%
Importer24.4%
Domestic61.1%

China Exposure

China/HK Domiciled0.0%
Revenue & Operations0.0%
Operations Only0.0%
Revenue Only0.0%
No Material Exposure100.0%

Company Size

Mega (>$500B)0.0%
Large ($70–500B)31.5%
Mid ($10–70B)50.3%
Small ($1–10B)17.4%
Micro (<$1B)0.8%
ⓘ Methodology

China exposure: domiciled = incorporated in China or Hong Kong, falling back to the filing's country for holdings outside the stock model. Among the rest, revenue = ≥15% of revenue derived from China; operations = ≥3% of LinkedIn-tracked workforce in China, or ≥2 identified Chinese suppliers making up ≥12% of those identified. China revenue is estimated where segment reporting is absent. Company size bands by holding market cap: Mega >$500B, Large $70–500B, Mid $10–70B, Small $1–10B, Micro <$1B. Old vs New Economy partitions Sparkline's 48 industries: New = technology, internet platforms and entertainment, e-commerce, payments, pharma/biotech/medtech, and renewable energy; Old = everything else. Shares are of classified holdings and sum to 100%. China shares are of total equity weight. Size shares are of scored holdings weight. Holdings as of 7/31/2026. Stock-level data as of 8/31/2026.

Holdings

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133 positions (top 10 shown, create for full holdings)

#NameTickerWeight %SectorIndustryCountry
1WelltowerWELL
10.61
Real EstateTraditional REITsUSA
2PrologisPLD
8.62
Real EstateGrowth REITsUSA
3EquinixEQIX
6.42
Real EstateGrowth REITsUSA
4American TowerAMT
5.17
Real EstateGrowth REITsUSA
5Simon Property GroupSPG
4.69
Real EstateTraditional REITsUSA
6Digital Realty TrustDLR
4.37
Real EstateGrowth REITsUSA
7Realty IncomeO
3.81
Real EstateTraditional REITsUSA
8Public StoragePSA
3.48
Real EstateGrowth REITsUSA
9VentasVTR
2.90
Real EstateTraditional REITsUSA
10Iron MountainIRM
2.31
Real EstateGrowth REITsUSA
ⓘ Methodology

Holdings as of 7/31/2026. Stock-level data as of 8/31/2026.

ConcentrationRef: Equity Funds

Total Holdings133
Effective Holdings26.4
Top 10 Weight52.4%
Max Position10.6%
Top Sector (of Net Assets)99%
Top Country (of Net Assets)100%
ⓘ Methodology

Hover or click for definitions. Solid blue dots mark the fund: percentage rows on a 0–100% scale, holdings counts log-scaled across the clean-universe 5th–95th percentile range. The shaded band spans the fund's broad class (Equity Funds) 25th–75th percentile, notched at the median. Holdings as of 7/31/2026.

Benchmark DifferentiationRef: Equity Funds

vs SPYBroad Benchmark
Active Share98.3%
vs IWRStyle Benchmark
Active Share94.0%
ⓘ Methodology

One sub-card per benchmark: the market primary, then the style secondary — the gap between them is the style sleeve itself. Both anchors are Sparkline-inferred (market from asset class and region, style from the holdings size-and-style map), not the fund's official prospectus benchmark. Solid blue dot marks the fund; the shaded band spans the reference set's 25th–75th percentile, notched at the median (band follows the Peer Universe selector). Active Share compares the fund's book with the benchmark's, share for share; Tracking Error is the annualized daily deviation over the trailing two years (ruler runs to just past the universe's 95th percentile, or past the fund's own figure where that is larger); Benchmark Correlation is the plain daily correlation over the trailing year. Hover the labels for full definitions.

Peer Group Rank

See All Peer Groups
ⓘ Methodology

Sparkline's own holdings-based peer taxonomy (231 share classes across 98 funds). One share class shown per fund — the exchange-listed class where the SEC series has one, else its longest-history class; percentile ranks and medians are computed against the same deduped set. Quartile chips fill the layer the fund's rank falls in (top layer = best quartile). Funds without a full return history rank only on the horizons they cover.

Similar Funds

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Nearest funds across the whole universe, by holdings and behavior — the peer taxonomy is ignored, so matches can come from any category.

Top Similarity97
Top Overlap
Top Active Tilt
Top Factor Match
FundPeer Group
1SCHH
Schwab U.S. REIT ETF
Sector - Real Estate (US)
Sector - Real Estate (US)
97---
2VGSIX
VANGUARD REAL ESTATE INDEX FUND
Sector - Real Estate (US)
Sector - Real Estate (US)
96---
3VRTPX
VANGUARD REAL ESTATE II INDEX FUND
Sector - Real Estate (US)
Sector - Real Estate (US)
96---
4DFAR
Dimensional US Real Estate ETF
Sector - Real Estate (US)
Sector - Real Estate (US)
96---
5DFREX
DFA REAL ESTATE SECURITIES PORTFOLIO
Sector - Real Estate (US)
Sector - Real Estate (US)
96---
6FESIX
Fidelity SAI Real Estate Index Fund
Sector - Real Estate (US)
Sector - Real Estate (US)
95---
7SAREX
SA Real Estate Securities Fund
Sector - Real Estate (US)
Sector - Real Estate (US)
95---
8FREL
Fidelity MSCI Real Estate Index ETF
Sector - Real Estate (US)
Sector - Real Estate (US)
95---
9DFGEX
DFA Global Real Estate Securities Portfolio
Sector - Real Estate (US)
Sector - Real Estate (US)
95---
10FSRNX
Fidelity Real Estate Index Fund
Sector - Real Estate (US)
Sector - Real Estate (US)
95---

The method columns are members-only — create a free account to see these figures.

ⓘ Methodology

Rows are the consensus top matches (a fund must place in at least two methods' top 250 to qualify, and matches missing more than one of this fund's own methods are not ranked — a row scored on fewer methods is a noisier estimate, not a better match). Click a method column to see that method's own top matches across the whole universe instead. Gray (N) beside each method's metric is that fund's rank in the whole universe on that method. Similarity is a percentile among match-grade fund pairs, 0–100 — 87 means the pair is closer than 87% of the strongest matches in the universe, averaged across the methods — so it compares across funds: index clones tie at the top with thousands of other clone pairs, so scores top out in the high 80s to 90s, while a one-of-a-kind fund's best match can score in the 30s. Rows are ordered by the Consensus Rank — the geometric mean of those universe ranks, shown in each cell's tooltip — and the score is held down the list to the level of the closest match above it, so equal scores mean equally close and the number reads as a floor. A dash means that method has no figure for the pair at all (one of them lacks the holdings or return history it needs). Hover a column header for each method's definition. The “Top…” strips above compare against every fund's own top match across the whole universe (they deliberately don't follow the Peer Universe selector); Top Similarity is simply the best match's score, with no reference band; the Holdings and Active Tilt strips carry no reference band because computing every fund's best book overlap would require a full holdings scan per fund — the dot stands alone on its natural 0–100% scale. One share class shown per fund, and a fund's own sister share classes are excluded from its Top-match strips. Holdings as of 7/31/2026. Consensus Rank is the geometric mean of the match's universe-wide rank across the methods (#1.0 = top match on every one). Holdings Overlap = common-holdings weight (sum of the minimum weight across shared positions, long only). Active Tilt Overlap = the same statistic on active weights (holdings minus the fund's own default benchmark, floored at 0), which strips the benchmark ballast that dominates raw overlap. Factor Similarity = 100 − a signature-weighted RMS gap across the composite factor scores (0–100 ranks within the clean equity fund universe), each axis weighted by how far this fund sits from the universe median of 50.