BIL vs VGIT ETF Comparison
Compare BIL and VGIT across fund costs, diversification, holdings, performance, income, risk and current AlgovestIQ evidence.
What is the main difference between BIL and VGIT?
BIL is State Street SPDR Bloomberg 1-3 Month T-Bill ETF, while VGIT is Vanguard Intermediate-Term Treasury ETF. BIL is tied to Fixed Income; VGIT is tied to Government Bond. VGIT is broader by holdings count, with 76 positions versus 33 for BIL. VGIT has the lower expense ratio in the current fund profile.
| Metric | BIL | VGIT | Type |
|---|---|---|---|
| Expense ratio | 0.14% | 0.03% | Fund |
| Assets under management | $46.5B | $50.7B | Fund |
| Holdings | 33 | 76 | Fund |
| Average volume | 12,677,516 | 4,022,445 | Fund |
| Underlying exposure | Fixed Income | Government Bond | Fund |
| Annualized volatility | 1.1% | 3.5% | Risk |
| Max drawdown | -0.5% | -4.7% | Risk |
| Beta | -0.01 | 0.06 | Risk |
| Sharpe ratio | -3.76 | -2.04 | Risk |
| Sortino ratio | -3.18 | -2.98 | Risk |
| AIQ Score | 50/100 | 52/100 | AlgovestIQ |
| AIQ Edge Score | 4/10 | 5/10 | AlgovestIQ |
| Momentum | 31/100 | 29/100 | AlgovestIQ |
| Risk Resilience | 66/100 | 88/100 | AlgovestIQ |
AlgovestIQ AIQ Comparison
State Street SPDR Bloomberg 1-3 Month T-Bill ETF vs Vanguard Intermediate-Term Treasury ETF
VGIT leads
VGIT leads by 2 AIQ points, primarily on Risk Resilience, but the lead has narrowed from 5 points over 30 sessions.
Fragile: 1 of 4 evidence groups support VGIT, and its lead is narrowing.
State Street SPDR Bloomberg 1-3 Month T-Bill ETF
Vanguard Intermediate-Term Treasury ETF
The Algovestiq AIQ Score currently favors VGIT over BIL, 52 versus 50 as of Sep 5, 2026. VGIT's advantage is driven primarily by stronger risk resilience. VGIT also shows the weaker technical structure relative to its 50-day moving average. 1 of 4 covered evidence groups favor VGIT today, and the comparison is rated Fragile on stability: the AIQ gap is narrow at 2 points. VGIT lead: Weakening — the AIQ differential moved from 5 to 2 points over 30 sessions.
Compare State Street SPDR Bloomberg 1-3 Month T-Bill ETF and Vanguard Intermediate-Term Treasury ETF across performance, expense ratio, dividend yield, drawdown, volatility and the Algovestiq AIQ Score.
Compare BIL and VGIT 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 88VGIT +22
- Quality30%72 vs 69Even
- Momentum25%31 vs 29Even
- Value30%36 vs 36Even
1 of 4 evidence groups favor VGIT. VGIT’s edge is concentrated in risk resilience.
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 +4
No new signals fired.
VGIT's lead widened by 1 AIQ points in the latest snapshot.
Deeper signal detail for each name lives on its own signals page — BIL and VGIT both carry a full feed there.
The central trade-off
VGIT (Vanguard Intermediate-Term Treasury ETF): the stronger current systematic profile, led by risk resilience.
BIL (State Street SPDR Bloomberg 1-3 Month T-Bill ETF): the counter-case, on technicals.
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
VGITVGIT 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
EvenThe two are level on Momentum.
Lower downside
VGITVGIT on Risk Resilience, by 22 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 | VGIT | 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 | $50.7B | Larger funds generally carry tighter spreads. |
| Holdings | 33 | 76 | More holdings means broader diversification, not better returns. |
| Average volume | 12,677,516 | 4,022,445 | Liquidity — matters most if you trade size. |
| Annualized volatility | 1.1% | 3.5% | Lower is a steadier ride for the same exposure. |
| Max drawdown | -0.5% | -4.7% | The worst peak-to-trough loss on record for the fund. |
| Sharpe ratio | -3.76 | -2.04 | Return per unit of risk. Higher is better. |
| Beta | -0.01 | 0.06 | 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 VGIT?
VGIT currently has more reported holdings, with 76 positions versus 33.
Which has the lower expense ratio?
VGIT 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?
VGIT 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?
VGIT currently leads on supporting AlgovestIQ evidence, 52 to 50.
AIQ Agreement Matrix
1 of 4 covered evidence groups favor VGIT. 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 52 |
| Fundamentals | Not covered | Not covered |
| Valuation | Even | Value 36 vs 36 |
| Technicals | BIL | Price vs 50-day -0.1% vs -0.9%; vs 200-day -0.1% vs -2.3% |
| Risk Resilience | VGIT | Risk Resilience 66 vs 88 |
| 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 VGIT 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 1 of 4 covered evidence groups agree. (argues the conclusion is provisional)
- The leader's advantage has been narrowing. (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 VGIT.
How the comparison changed
120 daily snapshots · Apr 22 – Sep 3VGIT lead: Weakening — the AIQ differential moved from 5 to 2 points over 30 sessions.
- Today
- VGIT +2
- 50 vs 52
- 7 sessions ago
- BIL +7
- 62 vs 55
- 30 sessions ago
- VGIT +5
- 51 vs 56
- 90 sessions ago
- BIL +7
- 64 vs 57
The lead changed hands 8 times in this window, most recently on Sep 1 when VGIT moved ahead of BIL.
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%)
0 bullish / 5 bearish / 1 neutral
- Death Cross Active — bearish, trend, long horizon (1.47%)
- Keltner Channel Breakdown — bearish, volatility, short horizon
- 52-Week Low Proximity — bearish, risk, long horizon (0.2%)
BIL is conflicted, so the timing case there is weaker than the score alone suggests.
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 -0.07%, AIQ +1 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.
- 1BIL closes the Risk Resilience gap — currently 22 points behind, the largest single contributor to VGIT's edge.
- 2BIL's Keltner Channel Breakdown resolves — a bearish volatility rule currently active against it.
- 3VGIT starts generating bearish momentum or trend signals.
- 4The narrowing continues — the lead has already given back 3 points over 30 sessions, and a further 2-point move would eliminate VGIT's advantage entirely.
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.
Technicals
BIL has the stronger structure| Metric | BIL | VGIT |
|---|---|---|
| RSI (14) | 37.2 | 35 |
| ADX (14) | 24.8 | 13.4 |
| Price vs 50-day | -0.1% | -0.9% |
| Price vs 200-day | -0.1% | -2.3% |
| Volatility (1M, annualized) | 1.1% | 3.7% |
Risk
VGIT is the more resilient| Metric | BIL | VGIT |
|---|---|---|
| Beta | -0.01 | 0.06 |
| Sharpe ratio | -3.76 | -2.04 |
| Sortino ratio | -3.18 | -2.98 |
| Max drawdown | -0.5% | -4.7% |
| Current drawdown | -0.4% | -4.5% |
| Annualized volatility | 1.1% | 3.5% |
| Value at risk (95%) | 0% | -0.4% |
Straight answers
Each answer is regenerated from the current snapshot, not written once and left to age.
Which is better, BIL or VGIT?
On the Algovestiq AIQ Score, VGIT is the stronger of the two as of Sep 5, 2026, scoring 52 against BIL's 50. The edge comes from risk resilience. 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 VGIT the better buy right now?
VGIT carries the stronger systematic profile as of Sep 5, 2026, and the comparison is rated Fragile — 1 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 VGIT over BIL?
The composite weights Quality at 30%, Value at 30%, Momentum at 25% and Risk Resilience at 15%. VGIT leads Risk Resilience by 22 points. Where the two split, the factor with the larger weight carries the result.
Which is better value, BIL or VGIT?
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 VGIT?
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 VGIT?
The two are level on Momentum. 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 VGIT?
VGIT is the more resilient of the two, so the other name carries the higher downside risk. VGIT on Risk Resilience, by 22 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 VGIT?
Margin data is not comparable for both names in the current snapshot.
Is VGIT's lead over BIL getting stronger or weaker?
VGIT lead: Weakening — the AIQ differential moved from 5 to 2 points over 30 sessions. This is measured from 120 daily comparison snapshots between 2026-04-22 and 2026-09-03. The lead has changed hands 8 times in that window, most recently on 2026-09-01, when VGIT moved ahead of BIL.
What would change the BIL vs VGIT verdict?
The result is a state, not a forecast, so it changes when the underlying evidence changes. Concretely: BIL closes the Risk Resilience gap — currently 22 points behind, the largest single contributor to VGIT's edge; BIL's Keltner Channel Breakdown resolves — a bearish volatility rule currently active against it; VGIT starts generating bearish momentum or trend signals; the narrowing continues — the lead has already given back 3 points over 30 sessions, and a further 2-point move would eliminate VGIT's advantage entirely.
What do the current signals say about BIL and VGIT?
BIL: 2 bullish / 3 bearish / 2 neutral, conflicted. VGIT: 0 bullish / 5 bearish / 1 neutral. 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 VGIT it is Death Cross Active (bearish, long horizon).
Compare BIL and VGIT 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.