Marks Group Wealth Management, Inc
"13F equity value" = market value of this filer's US-listed long equity positions only. It excludes cash, bonds, non-US and short positions, so it understates a fund's true assets under management — often by a lot.
13F holdings are disclosed ~45 days after quarter-end, and they never reveal when within the quarter a fund actually bought. So any 13F-based summary is structurally late and blurred — this applies to every fund, including this one.
We backtested copying it anyway. Buying this fund's new positions the day each filing went public, over 24 quarters, returned +4.5% per quarter — versus +3.9% per quarter from simply owning every 13F stock. It beat that baseline in only 50.0% of quarters (excess t = 0.60, not statistically significant). Its filings tell you what it bought — not what you should buy.
Quarterly compounding, invested quarters only · entry 47 days after quarter-end (when 13F data becomes public)
Top 20 holdings of 337 · 2026 Q1
| Ticker | Value | Weight | QoQ |
|---|---|---|---|
| EFV | $33M | | ADD |
| AAPL | $28M | | TRIM |
| GOOG | $22M | | TRIM |
| SPYM | $21M | | ADD |
| EFG | $18M | | ADD |
| IEMG | $17M | | ADD |
| PVAL | $16M | | ADD |
| IVW | $16M | | ADD |
| MSFT | $14M | | TRIM |
| DYNF | $14M | | ADD |
| RSG | $13M | | TRIM |
| NVDA | $13M | | TRIM |
| JQUA | $13M | | ADD |
| META | $12M | | TRIM |
| ICE | $12M | | TRIM |
| SYK | $11M | | TRIM |
| UNH | $11M | | TRIM |
| AMZN | $11M | | TRIM |
| GE | $10M | | TRIM |
| ECOW | $10M | | ADD |
QoQ vs previous quarter's share count · NEW = new position · ADD/TRIM = ±2% shares · HOLD = unchanged.
New positions in 2026 Q1
Method & Limitations
Method: a "new position" = held this quarter, absent last quarter (options excluded; stocks with <50 prior holders excluded to filter spin-off artifacts). Entry 47 days after quarter-end — the first day the public could act on the filing. Benchmark = equal-weighted universe of all 13F-held stocks. Limitations: quarterly snapshots can't see intra-quarter trades; survivorship bias — funds that shut down are absent, which flatters the sample. Statistics, not advice.