Rubén Hinojosa portfolio
Rubén Hinojosa represented TX in the House until 2017. Trades below come from filings made while in office. Rubén Hinojosa has disclosed 200 trades (66 purchases, 134 sales); the latest was on Dec 27, 2016. Over the past year the disclosed stock holdings returned -17.8%, against +11.8% for the S&P 500.
Est. value $397K across 8 stocks and ETFs, marked to the latest close
| Investment | Est. holding value | Last transaction | Total bought | Avg. cost | Since filed | Current price | Trades |
|---|---|---|---|---|---|---|---|
| NFLXNetflix, Inc. | $198K | Aug 25, 2015Purchase | $4K–60K4 purchases | $10.15 | +446.12% | $62.82 | 4 |
| JPMJP Morgan Chase & Co. | $62K | Dec 27, 2016Purchase | $2K–30K2 purchases | $87.13 | +291.29% | $340.15 | 2 |
| VVisa Inc. | $42K | Dec 23, 2015Purchase | $1K–15K1 purchase | $78.56 | +460.40% | $414.20 | 1 |
| CVXChevron Corporation | $32K | Dec 27, 2016Purchase | $2K–30K2 purchases | $118.22 | +106.94% | $235.48 | 2 |
| SIMOSilicon Motion Technology Corporation -american Depositary Sh ares, eachrepresenting four ordinary s hares | $30K | Jul 19, 2016Purchase | $1K–15K1 purchase | $55.67 | +319.58% | $210.88 | 1 |
| TSNTyson Foods, Inc. | $20K | Jul 7, 2016Purchase | $3K–45K3 purchases | $67.66 | -16.34% | $57.28 | 3 |
| MMM3M Company | $9K | Dec 27, 2016Purchase | $1K–15K1 purchase | $149.60 | +18.68% | $176.12 | 3 |
| HELEHelen of Troy Limited | $2K | Jul 7, 2016Purchase | $1K–15K1 purchase | $102.69 | -71.12% | $29.02 | 1 |
Trades from House and Senate periodic transaction reports filed Jan 1, 2012 to Oct 30, 2026. Holdings are estimated from range midpoints: purchases add, partial sales subtract and full sales close the position, marked to the latest close where prices exist; matured bonds, expired options and delisted stocks drop out. They are not reported balances. Returns are time-weighted returns of the estimated stock and ETF holdings, with each trade taking effect at the close on its filing date (the member's own trade-date result is shown beneath): each window is split at the member's trade dates and the holdings' performance over each stretch, from daily closes, is chained, so the timing and size of purchases and sales do not dilute or inflate the result. Party, district and committee seats come from the congress-legislators dataset.