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ANALYTICS
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PSCT

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Benchmark

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Peer Universe

Reference set for percentile ranks and factor bars

Equity Funds · 5,640 total

ANALYTICS
AnalysisScreenerGroups

PSCT

Sector

Invesco S&P SmallCap Information Technology ETF

Expense Ratio
0.29%
AUM
$528M
Inception
4/8/2010
1Y Return
+54.1%99th %ilevs 5,640 asset-class peers
·

The fund invests at least 90% of total assets in the securities that comprise the Underlying Index, which measures the performance of small-capitalization U.S. companies in the information technology sector. This index selects constituents from the S&P SmallCap 600 Index, representing approximately 600 small-cap companies, and the fund employs a full replication methodology to track it. As of October 31, 2025, the Underlying Index included 71 securities with market capitalizations from $649.8 million to $29.2 billion, with significant exposure to the information technology sector.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
PSCT
Invesco S&P SmallCap Information Technology ETF
54.1%54.1%34.2%1.47-18.6%
ⓘ Methodology

ETF performance based on market prices. Drag on chart to select period. Sharpe Ratio uses the one-month T-bill as the risk-free rate. From 10/7/2025 to 10/7/2026.

Trailing Returns

Name
YTD1D5D1M3M6M1Y2Y3Y5YMAX
PSCT
Invesco S&P SmallCap Information Technology ETF
46.3%-1.4%2.4%5.7%2.2%33.3%54.1%32.5%24.0%12.1%16.1%
ⓘ Methodology

ETF performance based on market prices. Returns for periods greater than one year are annualized. As of 10/7/2026.

Annual Returns

Name
2010201120122013201420152016201720182019202020212022202320242025YTD
PSCT
Invesco S&P SmallCap Information Technology ETF
35.6%*-4.8%10.5%45.5%12.9%4.3%33.5%10.0%-9.3%39.4%27.8%26.6%-22.7%20.8%-1.1%18.6%46.3%
ⓘ Methodology

* partial year — the series ran for only part of it (its first year, or the year it closed); the figure is the return over the part it did run. ETF performance based on market prices. As of 10/7/2026.

Correlation Matrix

Benchmark

Select a second series, or to correlate with the seven research factors.

Factor Regression

Name
Ann. αβ MKTβ SMBβ HMLβ RMWβ CMAβ UMDβ iHMLR²Obs
PSCTUS
Invesco S&P SmallCap Information Technology ETF
-2.7%1.40**0.59**0.14-0.77**0.210.52**0.23*0.80226
ⓘ Methodology

ETF performance based on market prices. US factor set. Daily OLS of excess return (fund − T-bill) on factor spread returns over the selected date range, intersected with each series' history. Bold with * |t| ≥ 1.96, ** |t| ≥ 2.58. Cell shading tracks each loading's t-stat. Betas are returns-based — compare with the holdings-based factor scores below. Factor returns are long-short spread returns (© Ken French, Dartmouth). From 10/7/2025 to 8/31/2026.

SnapshotAs ofvsⓘ

Fund ProfileSector

Fund Documents(opens the fund company’s site in a new tab)
Family
Registrant
Type
ETF
Asset Class
Peer Asset Class
Equity
Region
Equity Sleeve Style
Small Core
Peer Group Benchmark
Prospectus Benchmark
S&P Composite 1500 ® Index
Peer Group
Sector - Technology (95 peers)
1Y Peer Percentile
88
3Y Peer Percentile
15
Expense Ratio
0.29%
5Y Tax Drag
0.00%/yr
AUM
$528M
3Y Flow
+1.6%
Yield
0.00%
Inception
4/8/2010
Holdings (Reported)
73
Turnover
30%
Equity
77%
Derivatives
0%
Net Equity Exposure
100%
Strategy Summary

The fund invests at least 90% of total assets in the securities that comprise the Underlying Index, which measures the performance of small-capitalization U.S. companies in the information technology sector. This index selects constituents from the S&P SmallCap 600 Index, representing approximately 600 small-cap companies, and the fund employs a full replication methodology to track it. As of October 31, 2025, the Underlying Index included 71 securities with market capitalizations from $649.8 million to $29.2 billion, with significant exposure to the information technology sector.

ⓘ Methodology

Expense ratio and its components from the fund's prospectus fee table; tax drag from its after-tax return table. Turnover from the SEC annual report (11/7/2025). Yield as of 10/6/2026, AUM 9/30/2026. Holdings, asset class, style, peer group and exposures as of 5/31/2026. Strategy summary from the fund's prospectus.

Equity Size & Style Map

LargeMidSmall
-
-
-
-
-
5%
14%
42%
39%
Large
ValueCoreGrowth
Size
Large
0%
Mid
5%
Small
95%
Style
Value
14%
Core
42%
Growth
44%
ⓘ Methodology

Equity size and style definitions: Large vs. Small based on market cap, where Large > $70B, Mid $10-70B, and Small < $10B. Value vs. Growth based on percentile ranking on Traditional Value score within the fund's region and size cohort (equal thirds among its true equity-fund peers). This fund is not an equity fund, so the box describes its equity sleeve only (77% of assets): the sleeve's holdings are scored and ranked against equity funds of the same region and size cohort. The rest of the portfolio (bonds, cash, other assets) is not represented here. Cell shading and percentages: share of classified holdings weight per box, from stock-level classification (size on the same $70B/$10B lines; value by Traditional Value terciles across scored stocks). The dot is the average holding ranked against other funds, so dot and weights can differ at the margin. The Size and Style bars are the grid's row and column totals. Holdings as of 5/31/2026. Stock-level data as of 8/31/2026.

Composite FactorsRef: Equity Funds

Intangible Value76.7
Traditional Value48.7
Small-Cap85.9
Quality7.3
Momentum85.6
ⓘ 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 5/31/2026. Stock-level data as of 8/31/2026.

Factor DetailsRef: Equity Funds

Valuation
Book-to-Price (NTM)28.8
Sales-to-Price (NTM)51.4
Earnings-to-Price (NTM)3.9
Innovation/IP
R&D / Mkt Cap3.6
Patents / Mkt Cap3.0
Brand
Sales & Marketing / Mkt Cap3.4
Trademarks / Mkt Cap0.26
Human Capital
PhD Employees / Mkt Cap11.2
Top University Alumni / Mkt Cap29.8
Politics
Lobbying Spend / Mkt Cap27.7
AI
AI Employees / Mkt Cap4.0
ⓘ 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 5/31/2026. Stock-level data as of 8/31/2026. Expense ratio, yield, and turnover as of 10/6/2026. AUM as of 9/30/2026.

Asset Class Exposure

Equity77.2%
Cash & Short-Term22.8%
ⓘ Methodology

Shares of the fund's long book, from the asset category each position is filed under. The long book is 130% of net assets, so shares are of the long book rather than of the fund - it is levered by 30%.

Country Exposure

Level

Based on holdings that carry a country (77% of total assets).

96.3%
96.3%
3.7%
2.0%
1.7%
ⓘ Methodology

Shares are percentages of the holdings that carry a country, not portfolio weights. Holdings as of 5/31/2026. Stock-level data as of 8/31/2026.

Sector Exposure

Level
90.4%
5.9%
3.8%
ⓘ Methodology

Shares are percentages of the fund's classified holdings — every position we can identify, with cash and unidentified positions excluded — not portfolio weights. Holdings as of 5/31/2026. Stock-level data as of 8/31/2026.

Thematic Exposure

AI Composition

Infrastructure12.9%
Early Adopter40.9%
Laggard46.2%

Magnificent 7

Magnificent 70.0%
Non-Magnificent 7100.0%

Old vs New Economy

Old Economy9.6%
New Economy90.4%

Globalization

Multinational65.2%
Exporter7.1%
Importer19.7%
Domestic7.9%

China Exposure

China/HK Domiciled0.0%
Revenue & Operations33.9%
Operations Only18.7%
Revenue Only2.6%
No Material Exposure44.8%

Company Size

Mega (>$500B)0.0%
Large ($70–500B)0.0%
Mid ($10–70B)10.5%
Small ($1–10B)88.8%
Micro (<$1B)0.7%
ⓘ Methodology

Shares are percentages of the fund's classified equity book, renormalized so each split sums to 100% (the equity book is 77% of net assets) — they are not portfolio weights. 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 5/31/2026. Stock-level data as of 8/31/2026.

Holdings

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

#NameTickerWeight %SectorIndustryCountry
1Invesco Private Prime Fund-
21.41
--USA
2Invesco Private Government Fund-
8.21
--USA
3SanminaSANM
5.29
TechnologyTechnology HardwareUSA
4SemtechSMTC
5.26
TechnologySemiconductorsUSA
5Viavi SolutionsVIAV
4.19
TechnologyTechnology HardwareUSA
6ViasatVSAT
4.08
TechnologyTechnology HardwareUSA
7FormFactorFORM
3.60
TechnologySemicap EquipmentUSA
8Enphase EnergyENPH
3.34
IndustrialsElectrical & Power EqUSA
9QorvoQRVO
3.26
TechnologySemiconductorsUSA
10MaxLinearMXL
2.82
TechnologySemiconductorsUSA
ⓘ Methodology

Sector, country and factor detail need a security match; the share of weight that matched is a member figure, so the rows without one appear here with those columns blank. Holdings as of 5/31/2026. Stock-level data as of 8/31/2026.

ConcentrationRef: Equity Funds

Total Holdings73
Effective Holdings22.3
Top 10 Weight61.5%
Max Position21.4%
Top Sector (of Net Assets)90%
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 5/31/2026.

Peer Group Rank

See All Peer Groups
Metric
PSCT
Invesco S&P SmallCap Information Technology ETF
Peer Group
95 funds
Peer Asset Class
5,640 funds
YTD Return
46.26%35.38%7611.63%98
1Y Return
54.09%36.54%8814.44%99
3Y Return (Ann.)
23.98%34.47%1518.50%83
5Y Return (Ann.)
12.06%16.39%248.64%78
Expense Ratiohigher = cheaper
0.29%0.65%890.74%84
ⓘ Methodology

Sparkline's own holdings-based peer taxonomy (195 share classes across 95 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 Similarity29
Top Overlap
Top Active Tilt
Top Factor Match
Top Return Corr
Top FF Match
FundPeer Group
1NESGX
Needham Small Cap Growth Fund
US Small Growth
US Small Growth
29-----
2QQQS
Invesco NASDAQ Future Gen 200 ETF
Allocation - Aggressive
Allocation - Aggressive
29-----
3FTXFX
FULLERTHALER BEHAVIORAL SMALL-CAP GROWTH
US Mid Growth
US Mid Growth
24-----
4MAKX
ProShares S&P Kensho Smart Factories ETF
US Mid Core
US Mid Core
16-----
5NINLX
Neuberger Intrinsic Value Fund
US Small Core
US Small Core
16-----
6NEAGX
Needham Aggressive Growth Fund
US Small Growth
US Small Growth
16-----
7GTSAX
Invesco Small Cap Growth Fund
US Small Growth
US Small Growth
16-----
8OBMCX
Oberweis Micro-Cap Fund
US Small Core
US Small Core
16-----
9XTL
State Street(R) SPDR(R) S&P(R) Telecom ETF
Sector - Communications
Sector - Communications
16-----
10XSD
State Street(R) SPDR(R) S&P(R) Semiconductor ETF
Sector - Semiconductors
Sector - Semiconductors
16-----

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 5/31/2026. 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. Return Correlation = correlation of market-hedged daily returns over the trailing two years (CAPM residuals), so only market-beta co-movement is removed; requires ~18 months of daily history (378 of the window's 504 trading days). Fama-French Similarity = 1/(1+d), where d is the Euclidean distance between factor betas (market, size, value, profitability, investment, momentum, intangible value) from up to three years of daily returns (min 378 daily observations and regression R² of at least 0.25); 1.00 = identical loadings.