VGVT
Vanguard Government Securities Active ETF·ARCA
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Key Stats
Assets Under Management
40.72MUSD
Fund Flows (1Y)
21.00MUSD
Dividend Yield
2.95%
Discount/Premium to NAV
0.17%
Shares Outstanding
535.00K
Expense Ratio
0.10%
About Vanguard Government Securities Active ETF
Issuer
Vanguard
Brand
Vanguard
Inception Date
Jun 18, 2025
Structure
Open-Ended Fund
Index Tracked
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Management Style
Active
Dividend Treatment
Distributes
Distribution Tax Treatment
Ordinary income
Income Tax Type
Capital Gains
Max ST Capital Gains Rate
39.60%
Max LT Capital Gains Rate
20.00%
Primary Advisor
The Vanguard Group, Inc.
Distributor
Vanguard Marketing Corp.
VGVT seeks to outperform the Bloomberg Government Total Return Index, which is comprimised of the full Treasury and agency debenture universe. Vanguard's actively managed fixed income funds follow a portfolio manager-driven process that uses both top-down and bottom-up inputs. Portfolio managers are responsible for portfolio construction and strategy, leveraging the top-down insights of Vanguard's senior investment leaders and Vanguard's Investment Strategy Group, the bottom-up insights of the sector teams, and the relative value views across fixed income sectors. Risk optimization measures are present throughout the investment process, and the Senior Investment Committee provides governance and oversight for the entire lineup. Securities are sold based on the advisor's judgments about a security's fundamentals, technical factors, valuation, and contribution to the overall portfolio.
Classification
Asset Class
Fixed Income
Category
Government, Broad-based
Focus
Investment Grade
Niche
Broad Maturities
Strategy
Active
Geography
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Weighting Scheme
Proprietary
Selection Criteria
Proprietary
Returns
1-Month | 3-Month | YTD | 1-Year | 3-Year | 5-Year | |
|---|---|---|---|---|---|---|
Price Performance | +0.01% | +0.86% | +0.21% | — | — | — |
NAV Total Return | +0.26% | -0.35% | +0.48% | +1.47% | +1.47% | +1.47% |
Ratings
No data is currently available
Ainvest’s AI-powered ETF Scoring Algorithm, built to help retail investors make smarter, data-driven decisions. Leveraging deep learning, reinforcement learning, and large language models, the algorithm scores ETFs across five key dimensions: Fund Flow, Momentum, Safety, Fundamentals, and Performance. Each factor is weighted by its correlation to future returns, resulting in a single, actionable score. Backtested over five years with consistently strong predictive accuracy. Ainvest brings institutional-grade artificial intelligence to everyday investors—transforming complexity into clarity with every score.
Holdings Analysis
Sector
No data is currently available
Asset
No data is currently available
Region
No data is currently available
Investment Style
No data is currently available
Top 10 Holdings
Symbol
Ratio
FNA_18-M7 A2
5.07%
FNA_17-M15 ATS2
2.40%
FHMS_K511 A2
2.15%
FNA_19-M5 A2
2.04%
GNMA_25-192L HG
1.78%
FHMS-K507 A2
1.69%
MKTLIQ
1.65%
FHMS_K080 A2
1.43%
FHMS_K509 A2
1.26%
GNMA_16-116G QW
1.10%
Top 10 Weight 20.57%
101 Total Holdings
Is SPY better than VGVT?
Dividends
Dividend Payout History
Declaration Date | Record Date | Payment Date | Amount |
|---|---|---|---|
| 2026-02-02 | 2026-02-02 | 2026-02-04 | 0.249 |
| 2025-12-18 | 2025-12-18 | 2025-12-22 | 0.577 |
| 2025-12-01 | 2025-12-01 | 2025-12-03 | 0.199 |
| 2025-11-03 | 2025-11-03 | 2025-11-05 | 0.264 |
| 2025-10-01 | 2025-10-01 | 2025-10-03 | 0.240 |
| 2025-09-02 | 2025-09-02 | 2025-09-04 | 0.264 |
| 2025-08-01 | 2025-08-01 | 2025-08-05 | 0.195 |
How Much Does VGVT Pay in Dividends?
Premium/Discount Chart
Assets Under Management
Should I buy VGVT?
Fund Flows
