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ANALYTICS
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SWYMX

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Benchmark

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Peer Universe

Reference set for percentile ranks and factor bars

Asset Allocation Funds · 1,365 total

ANALYTICS
AnalysisScreenerGroups

SWYMX

Schwab Target 2050 Index Fund

Expense Ratio
0.08%
AUM
$1.7B
Inception
8/30/2016
1Y Return
+15.6%85th %ilevs 1,365 asset-class peers
·

The fund invests at least 80% of its assets in affiliated Schwab exchange-traded funds and mutual funds, as well as unaffiliated third-party ETFs and mutual funds, which track specific market indices. It employs a target date strategy, adjusting its asset allocation annually, with an initial allocation of approximately 89.3% equity securities and 10.0% fixed-income securities, transitioning to about 44.0% equity and 54.0% fixed-income at the target date. The fund may also invest directly in securities and money market instruments for liquidity or defensive purposes.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
SWYMX
Schwab Target 2050 Index Fund
15.6%15.6%12.4%0.95-8.6%
ⓘ 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
SWYMX
Schwab Target 2050 Index Fund
13.0%0.0%1.5%-0.8%1.6%12.9%15.6%15.9%20.0%10.0%11.2%
ⓘ Methodology

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

Annual Returns

Name
2016201720182019202020212022202320242025YTD
SWYMX
Schwab Target 2050 Index Fund
1.9%*18.8%-7.6%25.3%14.7%17.8%-17.6%20.9%14.2%19.4%13.0%
ⓘ 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
SWYMXGlobal Dev
Schwab Target 2050 Index Fund
1.8%1.00**-0.32**-0.08*-0.13**0.18**-0.04-0.09**0.95226
ⓘ Methodology

ETF performance based on market prices. Global Dev 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). Fama-French publishes daily factors for developed markets only, so Dev Ex-US is developed markets excluding the US and Global Dev is developed markets including it; emerging markets, a small share of world market capitalization, are not covered by the source data. From 10/7/2025 to 8/31/2026.

SnapshotAs ofvsⓘ

Fund Profile

Fund Documents(opens the fund company’s site in a new tab)
Family
Registrant
Type
Mutual Fund
Asset Class
Peer Asset Class
Asset Allocation
Region
Equity Size & Style
Peer Group Benchmark
Prospectus Benchmark
Dow Jones U.S. Total Stock Market Index SM
Peer Group
Target Date 2050 & 2055 (83 peers)
1Y Peer Percentile
55
3Y Peer Percentile
49
Expense Ratio
0.08%
5Y Tax Drag
0.55%/yr
AUM
$1.7B
3Y Flow
+117.3%
Yield
1.80%
Inception
8/30/2016
Holdings (Reported)
8,058
Turnover
10%
Equity
90%
Derivatives
0%
Net Equity Exposure
89%
Strategy Summary

The fund invests at least 80% of its assets in affiliated Schwab exchange-traded funds and mutual funds, as well as unaffiliated third-party ETFs and mutual funds, which track specific market indices. It employs a target date strategy, adjusting its asset allocation annually, with an initial allocation of approximately 89.3% equity securities and 10.0% fixed-income securities, transitioning to about 44.0% equity and 54.0% fixed-income at the target date. The fund may also invest directly in securities and money market instruments for liquidity or defensive purposes.

ⓘ 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 (6/1/2026). Yield as of 10/6/2026, AUM 9/30/2026. Holdings, asset class, style, peer group and exposures as of 6/30/2026. Strategy summary from the fund's prospectus.

Equity Size & Style Map

LargeMidSmall
14%
24%
37%
4%
5%
6%
3%
4%
3%
Large
ValueCoreGrowth
Size
Large
75%
Mid
15%
Small
10%
Style
Value
21%
Core
33%
Growth
45%
ⓘ 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 6/30/2026. Stock-level data as of 8/31/2026.

Composite FactorsRef: Asset Allocation Funds

Intangible Value49.2
Traditional Value42.4
Small-Cap45.3
Quality54.9
Momentum51.3
ⓘ 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 Asset Allocation Funds class 25th–75th percentile of scores, notched at the median. Holdings as of 6/30/2026. Stock-level data as of 8/31/2026.

Factor DetailsRef: Asset Allocation Funds

Valuation
Book-to-Price (NTM)29.7
Sales-to-Price (NTM)37.9
Earnings-to-Price (NTM)5.1
Innovation/IP
R&D / Mkt Cap1.8
Patents / Mkt Cap1.0
Brand
Sales & Marketing / Mkt Cap2.1
Trademarks / Mkt Cap0.07
Human Capital
PhD Employees / Mkt Cap3.8
Top University Alumni / Mkt Cap8.5
Politics
Lobbying Spend / Mkt Cap12.5
AI
AI Employees / Mkt Cap0.97
ⓘ 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 (Asset Allocation Funds) 25th–75th percentile, notched at the median. Holdings as of 6/30/2026. 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

Equity88.8%
Fixed Income10.1%
Cash & Short-Term1.2%
ⓘ Methodology

Shares of the fund's long book, from the asset category each position is filed under. Holdings that are themselves funds are looked through one level to their own mix (100% of the book). Cash & Short-Term includes 0.6% of net assets the filing does not itemise.

Country Exposure

Level
69.9%
69.8%
Other0.1%
21.3%
4.8%
2.7%
2.4%
1.9%
1.5%
1.5%
1.3%
1.2%
Other4.0%
8.7%
2.4%
2.1%
1.6%
1.0%
Other1.7%
ⓘ Methodology

Shares are percentages of the holdings that carry a country, not portfolio weights. Holdings as of 6/30/2026. Stock-level data as of 8/31/2026.

Sector Exposure

Level
Technology29.5%
Financials15.1%
Industrials10.8%
Consumer Discretionary8.6%
Healthcare7.9%
Communication7.3%
Real Estate7.2%
Consumer Staples4.1%
Materials3.7%
Energy3.6%
Utilities2.3%
ⓘ 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 6/30/2026. Stock-level data as of 8/31/2026.

Thematic Exposure

AI Composition

Infrastructure37.5%
Early Adopter23.3%
Laggard39.1%

Magnificent 7

Magnificent 718.4%
Non-Magnificent 781.6%

Old vs New Economy

Old Economy53.2%
New Economy46.8%

Globalization

Multinational55.5%
Exporter7.3%
Importer12.9%
Domestic24.4%

China Exposure

China/HK Domiciled2.3%
Revenue & Operations11.5%
Operations Only13.9%
Revenue Only5.6%
No Material Exposure66.7%

Company Size

Mega (>$500B)29.7%
Large ($70–500B)34.6%
Mid ($10–70B)26.0%
Small ($1–10B)9.3%
Micro (<$1B)0.3%
ⓘ Methodology

Shares are percentages of the fund's classified equity book, renormalized so each split sums to 100% (the equity book is 90% 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 6/30/2026. Stock-level data as of 8/31/2026.

Holdings

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7 positions · 99.3% in funds

#NameTickerWeight %Country
1Schwab U.S. Large-Cap ETFSCHX
49.44
USA
2Schwab International Equity ETFSCHF
22.87
USA
3Schwab U.S. Aggregate Bond ETFSCHZ
10.01
USA
4Schwab Emerging Markets Equity ETFSCHE
6.36
USA
5Schwab U.S. Small-Cap ETFSCHA
6.04
USA
6Schwab U.S. REIT ETFSCHH
4.61
USA
7Schwab Government Money Fund-
0.07
USA
ⓘ 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. "In funds" adds up the rows tagged Fund — holdings that are themselves funds this app covers, which is what look-through can expand; a held vehicle that files no holdings of its own (a commodity or currency trust, a money-market fund) is not counted and stays a single line. Holdings as of 6/30/2026. Stock-level data as of 8/31/2026.

ConcentrationRef: Asset Allocation Funds

Total Holdings8,058
Effective Holdings3.1
Top 10 Weight99.4%
Max Position49.4%
Top Sector (of Net Assets)99%
Top Country (of Net Assets)99%
ⓘ 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 (Asset Allocation Funds) 25th–75th percentile, notched at the median. Holdings as of 6/30/2026.

Benchmark DifferentiationRef: Asset Allocation Funds

vs ACWIBroad Benchmark
Active Share100.0%
Tracking Error3.5%
Benchmark Correlation0.99
ⓘ 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
Metric
SWYMX
Schwab Target 2050 Index Fund
Peer Group
83 funds
Peer Asset Class
1,365 funds
YTD Return
13.04%12.67%637.49%86
1Y Return
15.55%15.37%559.48%85
3Y Return (Ann.)
20.04%20.08%4914.23%88
5Y Return (Ann.)
9.97%9.79%656.38%90
Expense Ratiohigher = cheaper
0.08%0.50%890.80%95
ⓘ Methodology

Sparkline's own holdings-based peer taxonomy (374 share classes across 83 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 Similarity92
Top Overlap
Top Active Tilt
Top Factor Match
Top Return Corr
Top FF Match
FundPeer Group
1SWYJX
Schwab Target 2055 Index Fund
Target Date 2050 & 2055
Target Date 2050 & 2055
92-----
2SWYNX
Schwab Target 2060 Index Fund
Target Date 2060+
Target Date 2060+
90-----
3SWYOX
Schwab Target 2065 Index Fund
Target Date 2060+
Target Date 2060+
87-----
4SWYHX
Schwab Target 2045 Index Fund
Target Date 2040 & 2045
Target Date 2040 & 2045
62-----
5LEHAX
BlackRock LifePath ESG Index 2045 Fund
Target Date 2040 & 2045
Target Date 2040 & 2045
62-----
6ITDE
iShares LifePath Target Date 2045 ETF
Target Date 2040 & 2045
Target Date 2040 & 2045
62-----
7SWYGX
Schwab Target 2040 Index Fund
Target Date 2040 & 2045
Target Date 2040 & 2045
61-----
8LEBAX
BlackRock LifePath ESG Index 2050 Fund
Target Date 2050 & 2055
Target Date 2050 & 2055
61-----
9ITDD
iShares LifePath Target Date 2040 ETF
Target Date 2040 & 2045
Target Date 2040 & 2045
61-----
10ITDF
iShares LifePath Target Date 2050 ETF
Target Date 2050 & 2055
Target Date 2050 & 2055
61-----

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 6/30/2026. 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.