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ANALYTICS
AnalysisScreenerGroups

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SWRRX

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Benchmark

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

Peer Universe

Reference set for percentile ranks and factor bars

Asset Allocation Funds · 1,365 total

ANALYTICS
AnalysisScreenerGroups

SWRRX

Schwab Target 2070 Fund

Expense Ratio
0.58%
AUM
$1M
Inception
2/25/2026
·

The fund invests primarily in a combination of affiliated Schwab mutual funds, Schwab ETFs, and unaffiliated third-party mutual funds and ETFs, following a target portfolio allocation. Initially, the fund allocates approximately 97% to equity securities, 2.5% to fixed-income securities, and 0.5% to cash and cash equivalents, adjusting annually as it approaches its target date of 2070, ultimately aiming for about 28% equity and 68% fixed income. The adviser may also adjust allocations within asset classes and style classes based on market trends and performance.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
SWRRX
Schwab Target 2070 Fund
6.3%10.6%14.8%0.49-9.5%
ⓘ 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 2/26/2026 to 10/7/2026.

Trailing Returns

Name
YTD1D5D1M3M6M1Y2Y3Y5YMAX
SWRRX
Schwab Target 2070 Fund
6.0%-0.8%0.9%-1.4%1.1%12.5%6.0%
ⓘ Methodology

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

Annual Returns

Name
YTD
SWRRX
Schwab Target 2070 Fund
6.0%
ⓘ Methodology

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
SWRRXGlobal Dev
Schwab Target 2070 Fund
-0.3%1.06**-0.21**-0.10-0.11**0.12*0.02-0.07*0.95129
ⓘ 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 2/26/2026 to 8/31/2026.

SnapshotAs ofvsⓘ

Fund Profile

Family
Registrant
Type
Mutual Fund
Asset Class
Peer Asset Class
Asset Allocation
Region
Equity Size & Style
Peer Group Benchmark
Peer Group
Target Date 2060+ (119 peers)
Expense Ratio
0.58%
AUM
$1M
Inception
2/25/2026
Holdings (Reported)
12,440
Equity
96%
Derivatives
0%
Strategy Summary

The fund invests primarily in a combination of affiliated Schwab mutual funds, Schwab ETFs, and unaffiliated third-party mutual funds and ETFs, following a target portfolio allocation. Initially, the fund allocates approximately 97% to equity securities, 2.5% to fixed-income securities, and 0.5% to cash and cash equivalents, adjusting annually as it approaches its target date of 2070, ultimately aiming for about 28% equity and 68% fixed income. The adviser may also adjust allocations within asset classes and style classes based on market trends and performance.

ⓘ Methodology

Expense ratio and its components from the fund's prospectus fee table. Yield as of 10/6/2026, AUM 9/30/2026. Holdings, asset class, style, peer group and exposures as of 7/31/2026. Strategy summary from the fund's prospectus.

Equity Size & Style Map

LargeMidSmall
15%
20%
33%
6%
5%
4%
7%
5%
4%
Large
ValueCoreGrowth
Size
Large
68%
Mid
15%
Small
16%
Style
Value
28%
Core
30%
Growth
42%
ⓘ 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: Asset Allocation Funds

Intangible Value50.1
Traditional Value49.6
Small-Cap54.4
Quality54.7
Momentum60.9
ⓘ 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 Asset Allocation 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: Asset Allocation Funds

Valuation
Book-to-Price (NTM)32.3
Sales-to-Price (NTM)45.1
Earnings-to-Price (NTM)5.7
Innovation/IP
R&D / Mkt Cap1.9
Patents / Mkt Cap0.94
Brand
Sales & Marketing / Mkt Cap2.6
Trademarks / Mkt Cap0.09
Human Capital
PhD Employees / Mkt Cap4.9
Top University Alumni / Mkt Cap9.7
Politics
Lobbying Spend / Mkt Cap16.1
AI
AI Employees / Mkt Cap1.1
ⓘ 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 7/31/2026. 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

Equity95.0%
Fixed Income2.5%
Cash & Short-Term2.0%
Other0.5%
ⓘ 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 0.4% of net assets the filing does not itemise. Other is everything we could not name as an asset class: holdings the filing itself labels as other, derivative positions at the market value the filing reports rather than at notional, and funds held inside this fund whose own holdings we could not read (0.5% here).

Country Exposure

Level
63.7%
63.4%
Other0.3%
25.9%
5.5%
3.9%
2.1%
2.0%
1.9%
1.7%
1.6%
1.3%
1.0%
Other4.7%
10.4%
2.9%
2.6%
1.7%
Other3.2%
ⓘ Methodology

Shares are percentages of the holdings that carry a country, not portfolio weights. Holdings as of 7/31/2026. Stock-level data as of 8/31/2026.

Sector Exposure

Level
Technology27.2%
Financials14.3%
Industrials12.4%
Healthcare10.8%
Consumer Discretionary8.8%
Communication7.5%
Real Estate6.2%
Consumer Staples4.0%
Energy4.0%
Materials3.0%
Utilities1.8%
ⓘ 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 7/31/2026. Stock-level data as of 8/31/2026.

Thematic Exposure

AI Composition

Infrastructure33.8%
Early Adopter24.7%
Laggard41.5%

Magnificent 7

Magnificent 716.2%
Non-Magnificent 783.8%

Old vs New Economy

Old Economy52.8%
New Economy47.2%

Globalization

Multinational55.1%
Exporter6.7%
Importer11.9%
Domestic26.3%

China Exposure

China/HK Domiciled2.7%
Revenue & Operations9.5%
Operations Only14.0%
Revenue Only6.1%
No Material Exposure67.7%

Company Size

Mega (>$500B)27.8%
Large ($70–500B)30.8%
Mid ($10–70B)25.7%
Small ($1–10B)14.8%
Micro (<$1B)0.8%
ⓘ Methodology

Shares are percentages of the fund's classified equity book, renormalized so each split sums to 100% (the equity book is 96% 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 7/31/2026. Stock-level data as of 8/31/2026.

Holdings

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18 positions (top 10 shown, create for full holdings) · 99.6% in funds

#NameTickerWeight %Country
1Schwab S&P 500 Index FundSWPPX
21.00
USA
2Schwab International Opportunities FundSWMIX
14.66
USA
3Schwab International Core Equity FundSICNX
10.88
USA
4Schwab Select Large Cap Growth FundLGILX
9.52
USA
5Schwab Fundamental U.S. Large Company Index FundSFLNX
6.93
USA
6Goldman Sachs Emerging Markets Equity Insights FundGERCX
6.35
USA
7Dodge & Cox Stock FundDODGX
6.01
USA
8Schwab Small-Cap Equity FundSWSCX
5.98
USA
9Schwab Global Real Estate FundSWASX
5.05
USA
10Schwab Core Equity FundSWANX
3.51
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 7/31/2026. Stock-level data as of 8/31/2026.

ConcentrationRef: Asset Allocation Funds

Total Holdings12,440
Effective Holdings9.2
Top 10 Weight89.9%
Max Position21.0%
Top Sector (of Net Assets)100%
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 (Asset Allocation Funds) 25th–75th percentile, notched at the median. Holdings as of 7/31/2026.

Benchmark DifferentiationRef: Asset Allocation Funds

vs ACWIBroad Benchmark
Active Share100.0%
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
SWRRX
Schwab Target 2070 Fund
Peer Group
119 funds
Peer Asset Class
1,365 funds
YTD Return
6.00%13.02%17.49%40
1Y Return
---
3Y Return (Ann.)
---
5Y Return (Ann.)
---
Expense Ratiohigher = cheaper
0.58%0.58%490.80%68
ⓘ Methodology

Sparkline's own holdings-based peer taxonomy (531 share classes across 119 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 Similarity93
Top Overlap
Top Active Tilt
Top Factor Match
FundPeer Group
1SWQRX
Schwab Target 2065 Fund
Target Date 2060+
Target Date 2060+
93---
2SWPRX
Schwab Target 2060 Fund
Target Date 2060+
Target Date 2060+
93---
3SWORX
Schwab Target 2055 Fund
Target Date 2050 & 2055
Target Date 2050 & 2055
92---
4SWNRX
Schwab Target 2050 Fund
Target Date 2050 & 2055
Target Date 2050 & 2055
91---
5SWMRX
Schwab Target 2045 Fund
Target Date 2040 & 2045
Target Date 2040 & 2045
90---
6SWERX
Schwab Target 2040 Fund
Target Date 2040 & 2045
Target Date 2040 & 2045
88---
7SWIRX
Schwab Target 2035 Fund
Target Date 2030 & 2035
Target Date 2030 & 2035
84---
8SWDRX
Schwab Target 2030 Fund
Target Date 2030 & 2035
Target Date 2030 & 2035
75---
9SSDDX
State Street Target Retirement 2045 Fund
Target Date 2040 & 2045
Target Date 2040 & 2045
68---
10GAL
State Street(R) Global Allocation ETF
Allocation - Moderate
Allocation - Moderate
66---

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.