Daniel Crenshaw
Republican · TX-02 29 disclosed trades · all members
What they disclosed
Amounts are disclosed as ranges, not figures, so no total is shown — the STOCK Act requires a band such as $1,001–$15,000 and adding bands together produces a number that does not exist.
Committees
- House Permanent Select Committee on Intelligence
- House Committee on Energy and Commerce
Most recent disclosureslatest 29 of 29
| Date | Security | Action | Amount | Filing |
|---|---|---|---|---|
| 2026-06-01 | GOOG | sale | $1,001 - $15,000 | |
| 2026-06-01 | AMZN | sale | $1,001 - $15,000 | |
| 2026-06-01 | AAPL | sale | $1,001 - $15,000 | |
| 2026-06-01 | META | sale | $1,001 - $15,000 | |
| 2026-06-01 | USOU | purchase | $1,001 - $15,000 | |
| 2026-05-05 | META | sale | $1,001 - $15,000 | |
| 2026-04-28 | META | purchase | $1,001 - $15,000 | |
| 2023-03-20 | SPY | purchase | $1,001 - $15,000 | |
| 2022-10-25 | GOOG | purchase | $1,001 - $15,000 | |
| 2022-10-25 | AMZN | purchase | $1,001 - $15,000 | |
| 2022-10-25 | AAPL | purchase | $1,001 - $15,000 | |
| 2022-10-25 | FAS | purchase | $1,001 - $15,000 | |
| 2022-10-25 | META | purchase | $1,001 - $15,000 | |
| 2022-10-25 | USO | purchase | $1,001 - $15,000 | |
| 2022-10-25 | WYNN | purchase | $1,001 - $15,000 | |
| 2022-01-10 | FAS | sale | $15,001 - $50,000 | |
| 2021-12-23 | RIVN | sale | $1,001 - $15,000 | |
| 2021-12-14 | RIVN | purchase | $1,001 - $15,000 | |
| 2021-12-02 | SPY | purchase | $1,001 - $15,000 | |
| 2021-03-05 | AMZN | sale | $1,001 - $15,000 | |
| 2021-03-05 | KMI | sale | $1,001 - $15,000 | |
| 2021-03-05 | SPXC | sale | $15,001 - $50,000 | |
| 2020-06-11 | FAS | purchase | $1,001 - $15,000 | |
| 2020-03-27 | BA | purchase | $1,001 - $15,000 | |
| 2020-03-26 | HTZ | purchase | $1,001 - $15,000 | |
| 2020-03-26 | KMI | purchase | $1,001 - $15,000 | |
| 2020-03-25 | FAS | purchase | $1,001 - $15,000 | |
| 2020-03-25 | SPXC | purchase | $1,001 - $15,000 | |
| 2020-03-12 | AMZN | purchase | $1,001 - $15,000 |
How the committee overlap is counted, and what it is not
A trade counts toward the overlap when the company's SEC industry classification falls plainly inside what one of the member's committees covers — a bank trade for someone on Financial Services, a defence contractor for someone on Armed Services. The mapping between committee and industry is curated and deliberately short, covering only pairs nobody would argue about. It is not official; no official version exists.
So the number is an overlap between two public records: the House Clerk's disclosures and the committee rosters published by the unitedstates project. It is not a finding, and it carries no claim that the seat and the trade are connected. Two things it will not tell you apart: a member trading a sector because they sit on its committee, and a member sitting on a committee because they spent a career in that sector. The second is extremely common and is how committee assignments are supposed to work.
It also cannot see who actually made the trade. Disclosures cover a spouse's and dependent children's accounts, and many are made by a manager under an arrangement the member does not direct.
What the disclosure record does and does not contain
- Amounts are ranges. The STOCK Act requires a band, not a figure, so there is no portfolio value here and no total. Any site showing you a member's exact position size computed it by assuming something.
- It lags. A transaction must be reported within 45 days of notice, and the notice itself can follow the trade. A date here is the transaction date as filed.
- Tickers are free text. Filers type them by hand into a PDF, so some are wrong or missing and some entries are not securities at all. Only values that look like real symbols are linked.
- Late and amended filings happen, and the record keeps both.
Where this comes from
Disclosures are parsed from the Clerk of the House's own published filings — the full record with every original PDF is on the congress trading pages. Committee rosters and member identity come from the unitedstates/congress-legislators datasets, which are public domain. Neither is bought from a vendor.