RKL Wealth Management LLC
"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 31 quarters, returned +2.8% per quarter — versus +2.2% per quarter from simply owning every 13F stock. It beat that baseline in only 54.8% of quarters (excess t = 1.35, 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 179 · 2026 Q1
| Ticker | Value | Weight | QoQ |
|---|---|---|---|
| IVV | $211M | | TRIM |
| IEFA | $108M | | TRIM |
| IJH | $75M | | TRIM |
| SCHX | $48M | | TRIM |
| IJR | $48M | | TRIM |
| SPMD | $40M | | TRIM |
| AAPL | $30M | | TRIM |
| SPSM | $28M | | TRIM |
| VGIT | $28M | | TRIM |
| IEMG | $25M | | TRIM |
| SCHM | $22M | | TRIM |
| GOOGL | $21M | | TRIM |
| VCIT | $21M | | TRIM |
| VMBS | $19M | | TRIM |
| SCHG | $19M | | TRIM |
| MSFT | $18M | | TRIM |
| MBB | $18M | | TRIM |
| NVDA | $15M | | TRIM |
| SCHF | $15M | | TRIM |
| JPM | $15M | | 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.