ETF Analysis
Vanguard Intermediate-Term Treasury ETF (VGIT) ETF Analysis
Vanguard Intermediate-Term Treasury ETF (VGIT) ETF analysis covering performance, holdings context, risk, drawdowns, volatility, momentum, dividends, valuation exposure, and the current AlgovestIQ assessment.
Vanguard Intermediate-Term Treasury ETF (VGIT) currently has an AIQ Score of 59/100, indicating a neutral setup. Risk is the strongest factor at 88/100. Value is the weakest current factor at 36/100. Performance, momentum, risk, distribution, and exposure evidence should be read together at the latest market-close snapshot.
VGIT at a Glance
Crawlable current metrics from the latest market-close ETF snapshot.
| Metric | Current |
|---|---|
| Price | $57.00 |
| AIQ Score | 59/100 |
| Overall View | Neutral |
| Technical Analysis Consensus | Neutral |
| Fund Size | $47.84B |
| Expense Ratio | 0.03% |
| Holdings Count | 106 |
| NAV | $57.01 |
| Asset Class | Government Bond |
| Primary Exposure | Government (99.55%) |
| Issuer | Vanguard |
| Domicile | US |
| Inception Date | Nov 19, 2009 |
| Distribution Yield | 4.02% |
| Beta | 0.78 |
| Average Volume | 4.55M |
| 52-week range | $56.35-$60.76 |
| RSI 14 | 67.48 |
| 50-Day SMA | $57.46 |
| 200-Day SMA | $58.83 |
| Risk Score | 88/100 |
| Momentum Score | 57/100 |
| Value Exposure Score | 36/100 |
VGIT Long-Horizon ETF Performance
Trailing returns, growth of $10,000, drawdown history, and calendar-year returns from available daily closes.
| Period | Total return | Annualized | Max drawdown | Start date |
|---|---|---|---|---|
| 1Y | -5.69% | -5.69% | -6.95% | Oct 20, 2025 |
| 3Y | 1.08% | 0.36% | -7.06% | Oct 20, 2023 |
| 5Y | -14.83% | -3.17% | -16.72% | Oct 25, 2021 |
| 10Y | -14.83% | -3.17% | -16.72% | Oct 25, 2021 |
Growth of $10,000
Indexed to the first available close in this history window.
Drawdown History
Peak-to-trough decline from each prior high over the available window.
Calendar-Year Returns
Full-year returns where available, with the current calendar year shown as YTD.
VGITVanguard Intermediate-Term Treasury ETF
Financial Services / Asset Management - Bonds
Low Priority
Above Peers
Latest quote
- Momentum57
- Value36
- Quality70
- Risk resilience88
- Sentiment—
VGIT ETF Analysis Summary
Vanguard Intermediate-Term Treasury ETF (VGIT) currently has an AIQ Score of 59/100, indicating a neutral setup. Risk resilience is the strongest factor at 88/100. Value is the weakest current factor at 36/100. Performance, exposure, distribution, momentum, and risk evidence should be read together at the latest market-close snapshot.
In a neutral regime, VGIT has AIQ Score of 59/100 with Risk resilience base of 88/100 and fading Value at 36/100. Wait for component alignment before adding exposure.
Risk resilience (88/100) leads while Value (36/100) lags. This cross-factor spread creates entry timing uncertainty.
Financial Services · -0.05% ETF move · VGIT classified in Asset Management - Bonds.
Current Evidence
AlgovestIQ Evidence Summary
Current consensus, supporting evidence, recent changes, and what would strengthen or weaken the view.
Is VGIT Bullish or Bearish Right Now?
VGIT currently has a neutral overall setup. Risk Resilience is the strongest factor at 88/100, while Value is weakest at 36/100. The current evidence suggests a mixed rather than strongly bullish or bearish setup.
- - Quality is supportive at 70/100.
- - Risk Resilience is supportive at 88/100.
- - Technical consensus has more buy votes than sell votes (17 vs 15).
- - Value is the current constraint at 36/100.
- - Price is -3.12% below its 200-day SMA.
Current Consensus
VGIT's Technical Analysis Consensus is currently Neutral, with 17 buy, 13 neutral, and 15 sell votes. VGIT's 14-day RSI is 67.48, which places the ETF in a constructive momentum range. VGIT's beta is 0.78, indicating lower market sensitivity than the broad market.
What Changed in VGIT?
The largest recent change in VGIT is Momentum moving up by 11.0 points over the available 7-day comparison window. Risk Resilience remains the strongest visible factor.
What Would Change the VGIT Outlook?
The current neutral outlook could improve if AIQ moves above 70, momentum recovers, risk resilience improves, and price confirms a stronger trend above the 50-day and 200-day moving averages. It would weaken if AIQ falls below 40, price loses long-term moving-average support, distribution or liquidity context deteriorates, or risk evidence worsens.
AIQ > 70, RSI above 55, price above SMA-50/SMA-200, and positive market-context evidence.
AIQ below 40, RSI below 45, loss of SMA-200, negative revisions, or rising volatility and drawdown risk.
VGIT Decision Framework
Public evidence layers, setup checks, and risk context for Vanguard Intermediate-Term Treasury ETF.
Vanguard Intermediate-Term Treasury ETF (VGIT) ETF Analysis
Vanguard Intermediate-Term Treasury ETF has an AIQ Score of 59/100 in a Neutral regime. Risk is strongest at 88/100. Beta is 0.78, below market sensitivity. Review the supporting etf factors together before drawing a conclusion from any single score.
| Evidence Layer | Public Evidence |
|---|---|
| Regime Context | VGIT is in a Neutral AIQ regime with score 59/100. |
| Signal Conflict | The primary conflict is that risk leads at 88/100 while value lags at 36/100. |
| Factor Evidence | Momentum 57/100 · Value 36/100 · Quality 70/100 · Risk 88/100 |
| Persistence | Current snapshot evidence is shown; historical persistence remains in AIQ Pro. |
Current Setup Checklist
Risk is the strongest factor at 88/100.
Momentum is 57/100 and RSI (14) is 67.5.
VGIT is in a Neutral regime at 59/100.
Risk factor is 88/100 with beta 0.78 and annual volatility 3.64%.
Current conflict: risk leads at 88/100 while value lags at 36/100.
VGIT Research Cluster
ETF-specific paths for performance, risk, distributions, market context, data, comparisons, and news.
VGIT ETF Analytics
VGIT holdings context, yield, risk, valuation exposure, momentum, and AIQ evidence.
VGIT Technical Analysis
VGIT technical setup based on RSI, MACD, moving averages, AIQ Momentum, volume, trend, volatility, and pivots.
VGIT ETF Market Context
Track VGIT market context, news pressure, trend changes, income events, and current allocation evidence.
VGIT Distribution Analysis
VGIT distribution yield, annualized distributions, payment history, and income context.
VGIT ETF Data
VGIT available fund data, market metrics, technical readings, risk measures, and AIQ evidence.
VGIT Risk Analysis
VGIT volatility, beta, drawdown, Sharpe ratio, VaR, and downside resilience.
VGIT ETF News
VGIT ETF news, market tone, recent headlines, and catalyst context.
VGIT vs Fixed Income — Government Peers
Current peer cohort: VGIT · VGLT · VGSH · VTIP · BIL. Compare AIQ, factor scores, Sharpe ratio and 1-year volatility in one indexable view.
| Peer | AIQ | Value | Momentum | Risk | Sharpe | 1Y Volatility | Compare |
|---|---|---|---|---|---|---|---|
| VGIT Current ETF | 59/100 | 36/100 | 57/100 | 88/100 | -2.69 | 3.64% | Current |
| VGLT Vanguard Long-Term Treasury ETF | 53/100 | 36/100 | 59/100 | 54/100 | -1.77 | 8.82% | VGIT vs VGLT |
| VGSH Vanguard Short-Term Treasury ETF | 57/100 | 36/100 | 58/100 | 73/100 | -3.6 | 1.71% | VGIT vs VGSH |
| VTIP Vanguard Short-Term Inflation-Protected Securities ETF | 56/100 | 36/100 | 58/100 | 68/100 | -2.28 | 3.03% | VGIT vs VTIP |
| BIL SPDR Bloomberg 1-3 Month T-Bill ETF | 62/100 | 36/100 | 78/100 | 66/100 | -3.8 | 1.04% | VGIT vs BIL |
Peer cohort is resolved dynamically from the AlgovestIQ universe taxonomy and Compare relationship graph. Data as of Oct 21, 2026.
About the AIQ Score
Methodology for the current ETF evidence.
The AlgovestIQ AIQ Score combines multiple dimensions of ETF evidence, including momentum, valuation exposure, quality, risk resilience, sentiment context, and timing signals. It is a descriptive research score, not a guarantee of future performance or a personalized recommendation.
View AIQ methodologyFactor Diagnostics
A compact bridge from the AIQ score to the evidence tabs.
Valuation exposure across the fund's holdings.
Quality context inferred from fund exposure and available evidence.
Trend, momentum, volume, and timing confirmation.
Resilience, volatility, beta, drawdown, and tail risk.
News and event pressure around the setup.
Open the return calculator with ETF context while purchase price, shares, dates and fees remain user inputs.
AIQ Component Profile
Compare the five component scores on one consistent 0–100 scale.
Review earnings timing, revisions, news pressure, and prior event reactions in one place.
Open catalystsNo quarterly financial rows in this snapshot.
Checked Oct 22, 2026
Explore factor drivers, conflicts, persistence, and scenario sensitivity in the advanced workspace.
ETF Analytics Snapshot
Current ETF evidence uses fund profile, cost, size, distribution, momentum, and risk fields.
ETF pages use fund-native profile fields for cost, size, liquidity, holdings breadth, NAV, issuer, and launch date.
Market Confirmation
Technicals are summarized first, with the indicator library behind it.
Risk Alignment
Higher resilience is stronger; exposure metrics stay separate.
Continue Researching VGIT
Open the detailed evidence pages and workflows behind the stock overview read.
Premium Feature
Full AIQ Analysis
AIQ Intelligence
AIQ Pro for VGIT
Scenario Analysis
AIQ Scenario Builder
Portfolio Implication
Related Links
VGIT ETF FAQ
What is VGIT ETF price today?
VGIT is currently shown at $57.00. Use the live quote with the 52-week range and AIQ context before comparing funds.
What is VGIT's 52-week high and low?
VGIT's 52-week range is $56.35 to $60.76 based on the latest completed market-close snapshot from Oct 21, 2026. A price near either extreme should be evaluated with volatility and trend evidence.
Does VGIT pay a dividend?
VGIT's current distribution yield is 4.02% based on the latest completed market-close snapshot from Oct 21, 2026. For ETFs, dividend yield should be compared with expense ratio, holdings, and risk.
What should investors compare before buying VGIT?
Compare VGIT's price trend, expense profile, yield, holdings exposure, volatility, and AIQ signal. ETF decisions should focus on portfolio fit as much as current momentum.