Hillscore

Julia Letlow stock trades: what was bought and how it did

Julia Letlow (R-LA, House) has disclosed 137 priced stock buys since 2025, averaging +10.6% per buy under Hillscore's Composite score — ranking 37 of 60.

Composite
+10.6%
vs sector (3 months)
-2.0%
Rank
37 of 60
Priced buys
137
Notable trades
35

What the data shows

Against their sectors

The three questions the site asks of Congress as a whole, asked of Julia Letlow: every buy from the last five years, measured three months after purchase against the stock's own sector ETF over the same period. How the groups are defined.

Buys Number Return after 3 months vs. sector Beat their sector
All buys 137 +1.3% -2.0% 42%
Notable (committee-flagged) 35 +1.8% -0.2% 43%
Unaligned (no committee overlap) 88 +1.5% -2.7% 41%
Cluster, excl. mega-caps 29 -1.6% -4.6% 41%
Not clustered, excl. mega-caps 62 -1.4% -3.8% 34%

Their positions against the same money in their sectors

The solid line is how Julia Letlow's positions performed, week by week, over the last five years. The dashed line puts the same money, on the same dates, into each stock's sector ETF instead. Where the solid line runs above the dashed one, their picks were beating their sectors. Both are time-weighted: each week's return is measured across the positions held right through it and chained onto the last, so buying more never moves a line on the day it happens. Sales are matched oldest-first and a sold position is fixed at what it went out for. Only positions whose sector has a benchmark are included, on both lines.

Julia Letlow: weekly time-weighted return on disclosed positions, against the same money on the same dates held in each stock's sector ETF. Both start at zero.-10%0%+10%+20%+30%+40%Oct 2024Jun 2025Feb 2026Oct 2026
Julia Letlow's positionsSame money in their sector ETFs
Julia Letlow: weekly time-weighted return on disclosed positions, against the same money on the same dates held in each stock's sector ETF. Both start at zero.

Against their sectors, by type of trade

Each line is already net of its own sector ETFs: above zero, that group of trades was beating its sectors; below, trailing them. Where each line ends today is shown in the rankings. Groups with fewer than five positions are left out, since one or two trades would swing the line.

Julia Letlow: each group of trades' weekly time-weighted return relative to the same money in its sector ETFs. Above zero, beating its sectors.-30%-20%-10%0%+10%Oct 2024Jun 2025Feb 2026Oct 2026
Unaligned (no committee overlap)Notable (committee-flagged)Cluster (excl. mega-caps)
Julia Letlow: each group of trades' weekly time-weighted return relative to the same money in its sector ETFs. Above zero, beating its sectors.

Estimated profit

Money made rather than percentage returned, across the 141 positions we can match and price.

Realised
c.$3k
Still held
c.$130k
Total
c.$132k
Amount committed
c.$1.1m

How this is worked out. Buys and sells in the same stock are matched oldest-first into positions, so a sale closes the earliest purchase still open. Each position's gain is its size multiplied by the move between the closing price on the day it was bought and the closing price on the day it was sold — or today's close if it is still held. Realised totals the positions Julia Letlow has closed, Still held the paper gain on those left open, and Amount committed is what all of them cost to buy.

Every figure here is an estimate, which is what the “c.” stands for. Filings disclose amount bands, never exact sums, so each trade is counted at the midpoint of its band — a $1,001–$15,000 buy as $8,000. For a member trading mostly in the widest bands the true total could be several times larger, or a fraction of what is shown, so these are rounded hard rather than given to the dollar. Percentages elsewhere on this page survive that imprecision far better, because the ratio between entry and exit price stays right even when the size attached to it is wrong. That is why they lead and this does not.

Return at each checkpoint

Each buy's return that many days after its own purchase date. A buy sold between checkpoints counts at each checkpoint it was still held for, then at its sale price in the first checkpoint after the sale, and in none after that. Figures are split into all buys, Notable and everything else. Notable covers buys in a sector one of Julia Letlow's own committees oversees; everything else sits in the last column. Buy counts are in brackets: where the flagged column rests on a handful of trades, treat it as an observation rather than a pattern. These are a reference view and don't feed the Composite score above.

After All buys Notable All other trades
1 week +0.1% (141) +0.3% (35) +0.0% (106)
1 month +1.8% (140) +3.9% (35) +1.1% (105)
3 months +1.5% (137) +0.8% (33) +1.7% (104)
6 months +1.3% (125) -1.9% (30) +2.3% (95)
12 months +13.4% (81) +2.0% (22) +17.7% (59)

Committee seats

Trades in sectors these committees oversee are flagged Notable. A flag is a screening signal, not evidence of wrongdoing.

Recent disclosed trades

Showing the 100 most recent of 224 disclosed trades.

Traded Filed Symbol Type Price on trade date Disclosed amount
2026-02-20 2026-03-12 TRV BUY $304.93 $1,001–$15,000
2026-02-20 2026-03-12 DINO SELL $50.88 $1,001–$15,000
2026-02-20 2026-03-12 BXP SELL $60.88 $1,001–$15,000
2026-02-17 2026-03-12 VST BUY $173.68 $1,001–$15,000
2026-02-17 2026-03-12 PEG SELL $86.95 $1,001–$15,000
2026-02-17 2026-03-12 EXE SELL $102.75 $1,001–$15,000
2026-02-12 2026-03-12 TTWO SELL $190.36 $1,001–$15,000
2026-02-12 2026-03-12 REGN BUY $783.65 $1,001–$15,000
2026-02-12 2026-03-12 META BUY $649.81 $1,001–$15,000
2026-02-12 2026-03-12 ICE SELL $149.83 $1,001–$15,000
2026-02-12 2026-03-12 ICLR SELL $80.08 $1,001–$15,000
2026-02-12 2026-03-12 EXR BUY $144.34 $1,001–$15,000
2026-02-12 2026-03-12 AVGO SELL $331.17 $1,001–$15,000
2026-02-12 2026-03-12 T SELL $28.80 $1,001–$15,000
2026-02-10 2026-03-12 HUM SELL $181.30 $1,001–$15,000
2026-02-05 2026-03-12 PM SELL $182.00 $1,001–$15,000
2026-02-05 2026-03-12 PEP BUY $167.53 $1,001–$15,000
2026-02-04 2026-03-12 CMI BUY $605.63 $1,001–$15,000
2026-02-04 2026-03-12 MMM SELL $163.79 $1,001–$15,000
2026-02-02 2026-03-12 URI SELL $778.98 $1,001–$15,000
2026-02-02 2026-03-12 TSM BUY $341.36 $1,001–$15,000
2026-02-02 2026-03-12 CRM SELL $210.81 $1,001–$15,000
2026-02-02 2026-03-12 PG BUY $153.19 $1,001–$15,000
2026-02-02 2026-03-12 MSFT SELL $423.37 $1,001–$15,000
2026-02-02 2026-03-12 MKC SELL $61.10 $1,001–$15,000
2026-02-02 2026-03-12 DRS BUY $40.45 $1,001–$15,000
2026-02-02 2026-03-12 INTU SELL $487.12 $1,001–$15,000
2026-02-02 2026-03-12 IBM BUY $314.73 $1,001–$15,000
2026-02-02 2026-03-12 CSCO BUY $80.64 $1,001–$15,000
2026-02-02 2026-03-12 BA BUY $233.02 $1,001–$15,000
2026-02-02 2026-03-12 AAPL BUY $270.01 $1,001–$15,000
2026-02-02 2026-03-12 AMD BUY $246.27 $1,001–$15,000
2026-02-02 2026-03-12 MMM SELL $153.43 $1,001–$15,000
2025-12-16 2026-01-13 URI BUY $818.68 $1,001–$15,000
2025-12-16 2026-01-13 CRM SELL $254.91 $1,001–$15,000
2025-12-16 2026-01-13 PINS SELL $25.78 $1,001–$15,000
2025-12-08 2026-01-13 WAT BUY $392.75 $1,001–$15,000
2025-12-08 2026-01-13 WBD SELL $27.23 $1,001–$15,000
2025-12-08 2026-01-13 MTD SELL $1,381.37 $1,001–$15,000
2025-12-08 2026-01-13 ICON BUY $0.82 $1,001–$15,000
2025-12-08 2026-01-13 DVN BUY $37.57 $1,001–$15,000
2025-12-08 2026-01-13 AZN BUY $91.28 $1,001–$15,000
2025-12-08 2026-01-13 ABBV SELL $223.12 $1,001–$15,000
2025-12-08 2026-01-13 ABT SELL $122.09 $1,001–$15,000
2025-11-21 2026-01-13 STT SELL $114.36 $1,001–$15,000
2025-11-03 2026-01-13 DIS BUY $112.12 $1,001–$15,000
2025-11-03 2026-01-13 SF BUY $119.13 $1,001–$15,000
2025-11-03 2026-01-13 EXR SELL $131.20 $1,001–$15,000
2025-11-03 2026-01-13 KO BUY $67.97 $1,001–$15,000
2025-11-03 2026-01-13 CMG SELL $31.51 $1,001–$15,000
2025-10-23 2026-01-13 UHS BUY $208.63 $1,001–$15,000
2025-10-22 2026-01-13 RBLX SELL $128.00 $1,001–$15,000
2025-10-22 2026-01-13 RELX BUY $46.80 $1,001–$15,000
2025-10-22 2026-01-13 IBM BUY $287.51 $1,001–$15,000
2025-10-22 2026-01-13 AMZN SELL $217.95 $1,001–$15,000
2025-10-16 2026-01-13 SYK SELL $369.25 $1,001–$15,000
2025-10-16 2026-01-13 RBLX BUY $134.49 $1,001–$15,000
2025-10-16 2026-01-13 PG BUY $149.60 $1,001–$15,000
2025-10-16 2026-01-13 AVGO SELL $354.15 $1,001–$15,000
2025-10-16 2026-01-13 ADBE SELL $329.23 $1,001–$15,000
2025-10-02 2026-01-13 JCI SELL $108.66 $1,001–$15,000
2025-10-01 2026-01-13 TW SELL $107.60 $1,001–$15,000
2025-10-01 2026-01-13 MU SELL $182.15 $1,001–$15,000
2025-10-01 2026-01-13 KVUE SELL $15.85 $1,001–$15,000
2025-10-01 2026-01-13 INTU BUY $679.50 $1,001–$15,000
2025-10-01 2026-01-13 AMZN BUY $220.63 $1,001–$15,000
2025-09-22 2026-01-13 INTC BUY $28.76 $1,001–$15,000
2025-09-22 2026-01-13 GTES BUY $25.57 $1,001–$15,000
2025-09-22 2026-01-13 DY BUY $281.14 $1,001–$15,000
2025-09-22 2026-01-13 DE SELL $469.03 $1,001–$15,000
2025-09-17 2026-01-13 MU SELL $159.99 $1,001–$15,000
2025-09-17 2026-01-13 DLTR BUY $97.78 $1,001–$15,000
2025-08-26 2026-01-13 CMG BUY $42.52 $1,001–$15,000
2025-08-26 2026-01-13 AIZ BUY $214.24 $1,001–$15,000
2025-08-26 2026-01-13 ACI SELL $19.40 $1,001–$15,000
2025-08-08 2026-01-13 LOW BUY $241.15 $1,001–$15,000
2025-08-08 2026-01-13 HUM BUY $266.68 $1,001–$15,000
2025-08-08 2026-01-13 DINO SELL $43.55 $1,001–$15,000
2025-08-08 2026-01-13 GLOB SELL $74.68 $1,001–$15,000
2025-08-08 2026-01-13 CF SELL $80.91 $1,001–$15,000
2025-08-08 2026-01-13 CNC SELL $25.59 $1,001–$15,000
2025-07-29 2026-01-13 TW BUY $138.31 $1,001–$15,000
2025-07-29 2026-01-13 TPR SELL $107.40 $1,001–$15,000
2025-07-29 2026-01-13 TTWO BUY $223.98 $1,001–$15,000
2025-07-29 2026-01-13 AJG SELL $288.35 $1,001–$15,000
2025-07-25 2026-01-13 WSM BUY $181.71 $1,001–$15,000
2025-07-25 2026-01-13 WBD SELL $13.49 $1,001–$15,000
2025-07-25 2026-01-13 TMO BUY $478.32 $1,001–$15,000
2025-07-25 2026-01-13 CRM BUY $269.11 $1,001–$15,000
2025-07-25 2026-01-13 MTD BUY $1,263.99 $1,001–$15,000
2025-07-25 2026-01-13 JCI SELL $111.73 $1,001–$15,000
2025-07-25 2026-01-13 GLOB BUY $92.87 $1,001–$15,000
2025-07-25 2026-01-13 EXE SELL $98.17 $1,001–$15,000
2025-07-25 2026-01-13 BA SELL $233.06 $1,001–$15,000
2025-07-25 2026-01-13 AIG SELL $80.10 $1,001–$15,000
2025-07-24 2026-01-13 WDAY SELL $237.20 $1,001–$15,000
2025-07-24 2026-01-13 V BUY $353.97 $1,001–$15,000
2025-07-24 2026-01-13 TSM SELL $241.60 $1,001–$15,000
2025-07-24 2026-01-13 DGX SELL $171.90 $1,001–$15,000
2025-07-24 2026-01-13 GS SELL $719.18 $1,001–$15,000

What Julia Letlow disclosed, and what we score

Everything filed in the last five years, by instrument. Only purchases of common stock carry a return: the rest are disclosed here because leaving them out would make the scored figures look like the whole picture.

Instrument Trades Of which buys Disclosed value Scored?
Common stock 240 149 $1,969,120 Buys only
Bonds and other debt 16 14 $152,508 No
Sales of stock bought before our data begins 2 — $16,001 No

Values are the midpoints of the disclosed bands, which is all a filing gives — never an exact figure, and never the price paid. Sales of positions we never saw bought cannot be scored because there is no purchase to measure from; they are exits from holdings that predate our data.

Questions

Does Julia Letlow have to disclose their spouse's stock trades?
Yes. The STOCK Act requires members of Congress to disclose covered transactions made by a spouse or dependent child, filed under the member's own name — so a trade shown here may have been made by someone else in their household.
How is Julia Letlow's Composite score calculated?
It's the plain average return of every disclosed buy over the last five years — the realised return if the position was sold, or the return marked to today's closing price if it's still held. Every trade counts once regardless of size. Full method.
Why do Julia Letlow's trades appear weeks after they happened?
The STOCK Act allows 30–45 days between a trade and its disclosure. That delay is the law, not a lag on this site's part — trades appear here as soon as they are filed and detected.
Is this evidence of insider trading?
No. Members of Congress are legally permitted to trade stocks subject to disclosure. Hillscore's Notable and Cluster tags flag patterns worth examining, not proof that any trade used non-public information.

See the full rankings for how Julia Letlow compares to every tracked politician, the best and worst stock traders in Congress for who leads and trails them, or methodology for exactly how these returns are calculated and their limitations.

Data last updated .