BIL vs VGSH ETF Comparison
Compare BIL and VGSH across fund costs, diversification, holdings, performance, income, risk and current AlgovestIQ evidence.
What is the main difference between BIL and VGSH?
BIL is State Street SPDR Bloomberg 1-3 Month T-Bill ETF, while VGSH is Vanguard Short-Term Treasury ETF. BIL is tied to Fixed Income; VGSH is tied to Government Bond. VGSH is broader by holdings count, with 93 positions versus 33 for BIL. VGSH has the lower expense ratio in the current fund profile.
| Metric | BIL | VGSH | Type |
|---|---|---|---|
| Expense ratio | 0.14% | 0.03% | Fund |
| Assets under management | $46.5B | $34.7B | Fund |
| Holdings | 33 | 93 | Fund |
| Average volume | 12,677,516 | 4,104,765 | Fund |
| Underlying exposure | Fixed Income | Government Bond | Fund |
| 1Y return | -0.1% | -1.2% | Performance |
| YTD return | +0% | -1.3% | Performance |
| Annualized volatility | 1.1% | 1.7% | Risk |
| Max drawdown | -0.5% | -2% | Risk |
| Beta | -0.01 | 0.02 | Risk |
| Sharpe ratio | -3.76 | -3.10 | Risk |
| Sortino ratio | -3.18 | -3.31 | Risk |
| AIQ Score | 50/100 | 48/100 | AlgovestIQ |
| AIQ Edge Score | 4/10 | 3/10 | AlgovestIQ |
| Momentum | 31/100 | 26/100 | AlgovestIQ |
| Risk Resilience | 66/100 | 72/100 | AlgovestIQ |
AlgovestIQ AIQ Comparison
State Street SPDR Bloomberg 1-3 Month T-Bill ETF vs Vanguard Short-Term Treasury ETF
BIL leads
BIL leads by 2 AIQ points, primarily on Momentum and Quality, having only recently taken the lead back from VGSH.
Fragile: 0 of 4 evidence groups support BIL, the lead recently changed hands, and its current signal state is conflicted.
State Street SPDR Bloomberg 1-3 Month T-Bill ETF
Vanguard Short-Term Treasury ETF
The Algovestiq AIQ Score currently favors BIL over VGSH, 50 versus 48 as of Sep 5, 2026. BIL's advantage is driven primarily by stronger momentum and quality, while VGSH holds the stronger risk resilience profile. BIL also shows the stronger technical structure relative to its 50-day moving average. 0 of 4 covered evidence groups favor BIL today, and the comparison is rated Fragile on stability: the AIQ gap is narrow at 2 points. BIL lead: Reversed — VGSH led by 3 AIQ points 30 sessions ago; BIL now leads by 2.
Compare State Street SPDR Bloomberg 1-3 Month T-Bill ETF and Vanguard Short-Term Treasury ETF across performance, expense ratio, dividend yield, drawdown, volatility and the Algovestiq AIQ Score.
Compare BIL and VGSH against another ticker
Open a multi-ticker workspace without changing this focused pair page.
AIQ Factor Divergence
Where the two separate, on the four dimensions behind the AIQ Score. Bars read outward from a shared zero: further from the centre is a wider gap.
- Risk Resilience15%66 vs 72VGSH +6
- Momentum25%31 vs 26BIL +5
- Quality30%72 vs 68BIL +4
- Value30%36 vs 36Even
0 of 4 evidence groups favor BIL. BIL’s edge is concentrated in momentum and quality; VGSH keeps a meaningful risk resilience edge.
What changed since the last close
Latest scored session 2026-09-03, compared against the prior scored session 2026-09-02.
No factor moved materially.
No new signals fired.
Largest factor move: Momentum +1
No new signals fired.
BIL's lead was unchanged in the latest snapshot.
Deeper signal detail for each name lives on its own signals page — BIL and VGSH both carry a full feed there.
The central trade-off
BIL (State Street SPDR Bloomberg 1-3 Month T-Bill ETF): the stronger current systematic profile, led by momentum and quality.
VGSH (Vanguard Short-Term Treasury ETF): the counter-case, on risk resilience.
Which one fits your objective
The same two names rank differently depending on what you are optimizing for. All six reads are shown at once — none of them is hidden behind a toggle.
Balanced
BILBIL on the overall AIQ Score, which weights Quality and Value at 30% each.
Growth
EvenGrowth figures are not covered for both names.
Value
EvenThe two are level on Value.
Momentum
BILBIL on the Momentum factor, by 5 points.
Lower downside
VGSHVGSH on Risk Resilience, by 6 points.
Analyst upside
EvenAnalyst targets are level or not covered for both names.
Fund facts, side by side
Two funds tracking overlapping universes are separated by cost and risk far more than by holdings. Those lead here.
| Measure | BIL | VGSH | Why it matters |
|---|---|---|---|
| Expense ratio | 0.14% | 0.03% | Lower is better — it compounds against you every year you hold. |
| Assets under management | $46.5B | $34.7B | Larger funds generally carry tighter spreads. |
| Holdings | 33 | 93 | More holdings means broader diversification, not better returns. |
| Average volume | 12,677,516 | 4,104,765 | Liquidity — matters most if you trade size. |
| Annualized volatility | 1.1% | 1.7% | Lower is a steadier ride for the same exposure. |
| Max drawdown | -0.5% | -2% | The worst peak-to-trough loss on record for the fund. |
| Sharpe ratio | -3.76 | -3.10 | Return per unit of risk. Higher is better. |
| Beta | -0.01 | 0.02 | Sensitivity to the broad market. Neither direction is better — it depends on the role in your portfolio. |
Where the exposure actually sits
Sector exposure for each fund, ordered by the size of the difference.
Weighted holdings overlap is not available for this pair. Sector exposure above is a related but different measure — it says how much of each fund sits in the same parts of the market, not how much of the same securities they hold.
ETF comparison questions
Short answers to the fund-specific questions behind this comparison.
Which ETF is more diversified, BIL or VGSH?
VGSH currently has more reported holdings, with 93 positions versus 33.
Which has the lower expense ratio?
VGSH has the lower reported expense ratio in the current fund profile.
Which ETF has the higher distribution yield?
The current dataset does not show a higher-yield winner.
Which ETF has been more volatile?
VGSH has the higher annualized volatility in the current risk snapshot.
Which ETF has had the smaller drawdown?
BIL has the less severe max drawdown in the current risk snapshot.
Which ETF has the stronger current AlgovestIQ evidence?
BIL currently leads on supporting AlgovestIQ evidence, 50 to 48.
AIQ Agreement Matrix
0 of 4 covered evidence groups favor BIL. A wide gap backed by one group is a weaker case than a narrow gap backed by five.
| Evidence group | Favors | Reading |
|---|---|---|
| AIQ Score | Even | 50 vs 48 |
| Fundamentals | Not covered | Not covered |
| Valuation | Even | Value 36 vs 36 |
| Technicals | Even | Price vs 50-day -0.1% vs -0.3%; vs 200-day -0.1% vs -0.9% |
| Risk Resilience | VGSH | Risk Resilience 66 vs 72 |
| Analyst expectations | Not covered | Not covered |
✓ agrees with the overall verdict · ✕ points the other way. Groups marked “not covered” lack data on one or both of BIL and VGSH and are excluded from the count.
AIQ Decision Stability
The conclusion is sensitive to small changes. Treat the lead as provisional and watch the flip conditions below.
- The AIQ gap is narrow at 2 points. (argues the conclusion is provisional)
- Only 0 of 4 covered evidence groups agree. (argues the conclusion is provisional)
- The lead has already changed hands inside the comparison window. (argues the conclusion is provisional)
- The leader is throwing conflicting signals. (argues the conclusion is provisional)
Stability combines the score gap, how broadly the evidence agrees, how steady the lead has been across daily snapshots, the current signal state on both names, and analyst dispersion on BIL.
How the comparison changed
120 daily snapshots · Apr 22 – Sep 3BIL lead: Reversed — VGSH led by 3 AIQ points 30 sessions ago; BIL now leads by 2.
- Today
- BIL +2
- 50 vs 48
- 7 sessions ago
- BIL +9
- 62 vs 53
- 30 sessions ago
- VGSH +3
- 51 vs 54
- 90 sessions ago
- BIL +10
- 64 vs 54
The lead changed hands 5 times in this window, most recently on Aug 21 when BIL moved ahead of VGSH.
AIQ Signal Divergence
Only the signals that bear on the head-to-head. A conflicted name is carrying bullish and bearish rules at the same time — the technical evidence is not pointing one way.
2 bullish / 3 bearish / 2 neutral, conflicted
- Golden Cross Active — bullish, trend, long horizon (0.02%)
- Keltner Channel Breakdown — bearish, volatility, short horizon
- 52-Week High Proximity — bullish, risk, long horizon (0.4%)
1 bullish / 5 bearish / 1 neutral, conflicted
- Death Cross Active — bearish, trend, long horizon (0.62%)
- Keltner Channel Breakdown — bearish, volatility, short horizon
- 52-Week High Proximity — bullish, risk, long horizon (1.8%)
BIL leads the comparison while carrying a conflicted signal state, which is one reason the stability rating is not higher.
Price vs model alignment
Whether the latest session's price move confirms what the model did over the same session, or contradicts it.
Neither the price nor the AIQ Score moved enough in the latest session to confirm or contradict the other (price +0.03%, AIQ 0 points).
Neither the price nor the AIQ Score moved enough in the latest session to confirm or contradict the other (price 0%, AIQ 0 points).
What would flip this result
A state, not a forecast. These are the specific, observable changes that would reverse the verdict — not a price prediction.
- 1VGSH closes the Momentum gap — currently 5 points behind, the largest single contributor to BIL's edge.
- 2VGSH's Death Cross Active resolves — a bearish trend rule currently active against it.
- 3BIL's conflicting signal state resolves bearish — it currently carries 2 bullish and 3 bearish rules at once.
- 4A regime shift changes factor weighting — the composite weights Quality and Value at 30% each, so a rotation toward either would move the result most.
The full evidence
Every number behind the verdict. The leader is called above each group so you are not left to solve it from the table.
Performance
BIL leads 6 of 6 windows| Metric | BIL | VGSH |
|---|---|---|
| 1 week (5 sessions) | -0.2% | -0.4% |
| 1 month (20 sessions) | 0% | -0.1% |
| 3 months (63 sessions) | 0% | -0.4% |
| 6 months (126 sessions) | 0% | -1.2% |
| Year to date | 0% | -1.3% |
| 1 year (252 sessions) | -0.1% | -1.2% |
Technicals
Split| Metric | BIL | VGSH |
|---|---|---|
| RSI (14) | 37.2 | 31.4 |
| ADX (14) | 24.8 | 16.3 |
| Price vs 50-day | -0.1% | -0.3% |
| Price vs 200-day | -0.1% | -0.9% |
| Volatility (1M, annualized) | 1.1% | 1.8% |
Risk
VGSH is the more resilient| Metric | BIL | VGSH |
|---|---|---|
| Beta | -0.01 | 0.02 |
| Sharpe ratio | -3.76 | -3.1 |
| Sortino ratio | -3.18 | -3.31 |
| Max drawdown | -0.5% | -2% |
| Current drawdown | -0.4% | -1.8% |
| Annualized volatility | 1.1% | 1.7% |
| Value at risk (95%) | 0% | -0.2% |
Straight answers
Each answer is regenerated from the current snapshot, not written once and left to age.
Which is better, BIL or VGSH?
On the Algovestiq AIQ Score, BIL is the stronger of the two as of Sep 5, 2026, scoring 50 against VGSH's 48. The edge comes from momentum and quality. VGSH is not without a case — it holds the better risk resilience profile, which matters more if that is the objective you are optimizing for. This is a systematic score, not a recommendation: it ranks the two on the same evidence, it does not know your holding period or tax position.
Is BIL or VGSH the better buy right now?
BIL carries the stronger systematic profile as of Sep 5, 2026, and the comparison is rated Fragile — 0 of 4 covered evidence groups agree. A Fragile rating means the conclusion is sensitive: the AIQ gap is narrow at 2 points. Treat the lead as provisional.
Why does the AIQ Score favor BIL over VGSH?
The composite weights Quality at 30%, Value at 30%, Momentum at 25% and Risk Resilience at 15%. VGSH leads Risk Resilience by 6 points; BIL leads Momentum by 5 points; BIL leads Quality by 4 points. Where the two split, the factor with the larger weight carries the result.
Which is better value, BIL or VGSH?
Neither name separates on the peer-relative Value factor. The two are level on Value. The Value factor reads valuation relative to sector peers and to the company's own fundamental quality, so it is not the same as simply having the lower multiple.
Which has stronger growth, BIL or VGSH?
Growth figures are not covered for both names. Growth here is measured on reported revenue and earnings, not on forward estimates — it describes what the businesses have delivered, not what the Street expects next.
Which has stronger momentum, BIL or VGSH?
BIL on the Momentum factor, by 5 points. Momentum carries 25% of the AIQ composite. It has documented persistence over three- to twelve-month horizons, which makes it a timing input rather than a reason to hold something indefinitely.
Which is riskier, BIL or VGSH?
VGSH is the more resilient of the two, so the other name carries the higher downside risk. VGSH on Risk Resilience, by 6 points. The Risk Resilience factor weights 15% of the composite; position sizing usually responds to it more usefully than the buy/avoid decision does.
Is BIL more profitable than VGSH?
Margin data is not comparable for both names in the current snapshot.
Is BIL's lead over VGSH getting stronger or weaker?
BIL lead: Reversed — VGSH led by 3 AIQ points 30 sessions ago; BIL now leads by 2. This is measured from 120 daily comparison snapshots between 2026-04-22 and 2026-09-03. The lead has changed hands 5 times in that window, most recently on 2026-08-21, when BIL moved ahead of VGSH.
What would change the BIL vs VGSH verdict?
The result is a state, not a forecast, so it changes when the underlying evidence changes. Concretely: VGSH closes the Momentum gap — currently 5 points behind, the largest single contributor to BIL's edge; VGSH's Death Cross Active resolves — a bearish trend rule currently active against it; BIL's conflicting signal state resolves bearish — it currently carries 2 bullish and 3 bearish rules at once; a regime shift changes factor weighting — the composite weights Quality and Value at 30% each, so a rotation toward either would move the result most.
What do the current signals say about BIL and VGSH?
BIL: 2 bullish / 3 bearish / 2 neutral, conflicted. VGSH: 1 bullish / 5 bearish / 1 neutral, conflicted. A conflicted state means bullish and bearish rules are active on the same name at once — the technical evidence is not pointing one way, and a decision taken on it carries more timing risk. The most decision-relevant rule on BIL is Golden Cross Active (bullish, long horizon). On VGSH it is Death Cross Active (bearish, long horizon).
Compare BIL and VGSH with others
How this comparison is scored
The Algovestiq AIQ Score composites four factors — Quality (30%), Value (30%), Momentum (25%) and Risk (15%). Sentiment is reported separately as SentimentPulse and is not folded into the composite. Scores refresh every trading day, and this page regenerates from the latest snapshot rather than being written once.
The verdict names a leader, states how broadly six independent evidence groups agree, and rates how durable that conclusion is given the score gap, its recent trajectory and the current signal state on both names.
How to use side-by-side comparison →This comparison is informational and educational, not investment advice. AIQ scores update daily; re-check after earnings, guidance or macro data that materially changes either name’s factor profile.