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ANALYTICS
AnalysisScreenerGroups

Selection

Selected (1/4)

SWC1Z

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

Asset Allocation Funds · 1,365 total

ANALYTICS
AnalysisScreenerGroups

SWC1Z

Schwab VIT Balanced with Growth Portfolio

Expense Ratio
0.48%
AUM
$178M
·

The fund invests primarily in affiliated exchange-traded funds (ETFs) and may also include affiliated mutual funds and unaffiliated third-party ETFs and mutual funds, aiming for diversification across major asset classes such as domestic and international equity securities, fixed income, real assets, and money market investments. It normally allocates at least 25% of assets to equity securities and at least 25% to fixed-income securities, with a target allocation of 50-75% in equity and 25-50% in fixed income, focusing on large-cap stocks and investment-grade bonds. The investment adviser has discretion to adjust underlying fund allocations based on market trends and performance.

Time Series

Performance

No return history for SWC1Z (Schwab VIT Balanced with Growth Portfolio). The returns, correlation and regression cards are hidden.
SnapshotAs ofvsⓘ

Fund Profile

Fund Documents(opens the fund company’s site in a new tab)
Registrant
Type
ETF
Asset Class
Peer Asset Class
Asset Allocation
Region
Equity Sleeve Style
Large Core
Peer Group Benchmark
Prospectus Benchmark
S&P 500 ® Index
Peer Group
Allocation - Aggressive (327 peers)
Expense Ratio
0.48%
AUM
$178M
3Y Flow
-13.7%
Holdings (Reported)
10,204
Turnover
12%
Equity
67%
Derivatives
0%
Net Equity Exposure
68%
Strategy Summary

The fund invests primarily in affiliated exchange-traded funds (ETFs) and may also include affiliated mutual funds and unaffiliated third-party ETFs and mutual funds, aiming for diversification across major asset classes such as domestic and international equity securities, fixed income, real assets, and money market investments. It normally allocates at least 25% of assets to equity securities and at least 25% to fixed-income securities, with a target allocation of 50-75% in equity and 25-50% in fixed income, focusing on large-cap stocks and investment-grade bonds. The investment adviser has discretion to adjust underlying fund allocations based on market trends and performance.

ⓘ Methodology

Expense ratio and its components from the SEC annual shareholder report (3/3/2026). Turnover from the SEC annual report (3/3/2026). AUM as of 6/30/2026. Holdings, asset class, style, peer group and exposures as of 6/30/2026. Strategy summary from the fund's prospectus.

Equity Size & Style Map

Based on equity exposure only (66% of total assets).

LargeMidSmall
13%
23%
35%
4%
5%
6%
4%
6%
4%
Large
ValueCoreGrowth
Size
Large
71%
Mid
15%
Small
14%
Style
Value
21%
Core
34%
Growth
45%
ⓘ 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 (67% 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 6/30/2026. Stock-level data as of 8/31/2026.

Composite FactorsRef: Asset Allocation Funds

Based on equity exposure only (66% of total assets).

Intangible Value46.2
Traditional Value43.7
Small-Cap50.4
Quality52.1
Momentum50.6
ⓘ 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 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

Based on equity exposure only (66% of total assets).

Valuation
Book-to-Price (NTM)30.5
Sales-to-Price (NTM)38.8
Earnings-to-Price (NTM)5.1
Innovation/IP
R&D / Mkt Cap1.9
Patents / Mkt Cap1.0
Brand
Sales & Marketing / Mkt Cap2.2
Trademarks / Mkt Cap0.07
Human Capital
PhD Employees / Mkt Cap3.9
Top University Alumni / Mkt Cap8.5
Politics
Lobbying Spend / Mkt Cap12.3
AI
AI Employees / Mkt Cap0.96
ⓘ 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. AUM as of 6/30/2026.

Asset Class Exposure

Equity68.2%
Fixed Income31.0%
Other0.8%
ⓘ 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 (97% of the book).

Country Exposure

Level
76.2%
76.1%
Other0.1%
18.3%
4.0%
2.3%
2.2%
1.5%
1.3%
1.2%
1.1%
Other4.6%
5.5%
1.9%
1.1%
Other2.4%
ⓘ 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

Based on equity exposure only (66% of total assets).

Technology27.7%
Financials15.3%
Industrials10.9%
Real Estate9.3%
Consumer Discretionary8.3%
Healthcare7.7%
Communication7.0%
Consumer Staples4.0%
Materials4.0%
Energy3.5%
Utilities2.2%
ⓘ 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

Based on equity exposure only (66% of total assets).

AI Composition

Infrastructure35.4%
Early Adopter22.4%
Laggard42.2%

Magnificent 7

Magnificent 717.4%
Non-Magnificent 782.6%

Old vs New Economy

Old Economy55.8%
New Economy44.2%

Globalization

Multinational53.4%
Exporter7.4%
Importer13.1%
Domestic26.1%

China Exposure

China/HK Domiciled1.7%
Revenue & Operations10.9%
Operations Only13.0%
Revenue Only5.4%
No Material Exposure68.9%

Company Size

Mega (>$500B)27.8%
Large ($70–500B)33.4%
Mid ($10–70B)25.7%
Small ($1–10B)12.5%
Micro (<$1B)0.6%
ⓘ Methodology

Shares are percentages of the fund's classified equity book, renormalized so each split sums to 100% (the equity book is 67% 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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10 positions · 100.6% in funds

#NameTickerWeight %Country
1Schwab U.S. Large-Cap ETFSCHX
35.34
USA
2Schwab U.S. Aggregate Bond ETFSCHZ
27.47
USA
3Schwab International Equity ETFSCHF
16.81
USA
4Schwab U.S. REIT ETFSCHH
4.92
USA
5Schwab U.S. Small-Cap ETFSCHA
4.68
USA
6Schwab Short-Term US Treasury ETFSCHO
4.09
USA
7Schwab Government Money Fund-
3.54
USA
8Schwab Emerging Markets Equity ETFSCHE
3.34
USA
9Schwab International Small-Cap Equity ETFSCHC
2.96
USA
10Schwab U.S. TIPS ETFSCHP
1.01
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 Holdings10,204
Effective Holdings4.6
Top 10 Weight104.2%
Max Position35.3%
Top Sector (of Net Assets)104%
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 6/30/2026.

Peer Group Rank

See All Peer Groups
Metric
SWC1Z
Schwab VIT Balanced with Growth Portfolio
Peer Group
327 funds
Peer Asset Class
1,365 funds
YTD Return
---
1Y Return
---
3Y Return (Ann.)
---
5Y Return (Ann.)
---
Expense Ratiohigher = cheaper
0.48%0.94%860.80%74
ⓘ Methodology

Sparkline's own holdings-based peer taxonomy (945 share classes across 327 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 Similarity85
Top Overlap
Top Active Tilt
Top Factor Match
FundPeer Group
1SWYFX
Schwab Target 2035 Index Fund
Target Date 2030 & 2035
Target Date 2030 & 2035
85---
2SWYGX
Schwab Target 2040 Index Fund
Target Date 2040 & 2045
Target Date 2040 & 2045
85---
3SWYEX
Schwab Target 2030 Index Fund
Target Date 2030 & 2035
Target Date 2030 & 2035
81---
4SWBGX
Schwab MarketTrack Balanced Portfolio
Allocation - Aggressive
Allocation - Aggressive
81---
5SWG1Z
Schwab VIT Growth Portfolio
Allocation - Aggressive
Allocation - Aggressive
81---
6ITDD
iShares LifePath Target Date 2040 ETF
Target Date 2040 & 2045
Target Date 2040 & 2045
81---
7ITDC
iShares LifePath Target Date 2035 ETF
Target Date 2030 & 2035
Target Date 2030 & 2035
81---
8PDGCX
PGIM Target Date 2035 Fund
Target Date 2030 & 2035
Target Date 2030 & 2035
81---
9PDHDX
PGIM Target Date 2040 Fund
Target Date 2040 & 2045
Target Date 2040 & 2045
81---
10AOR
iShares Core 60/40 Balanced Allocation ETF
Allocation - Moderate
Allocation - Moderate
73---

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.