Ticker research · released through 2026-09-20
Which members of Congress bought Synopsys ($SNPS)?
As of 2026-09-27, 9 members of Congress disclosed buying Synopsys (SNPS) in CopyGov's publicly released record. The most recent published buy was attributed to Dan Newhouse on 2026-01-15; its modeled entry was 2026-01-16. Copying at the first close after publication returned -17.7% to 2026-09-25, or -29.9 points versus SPY.
Members with disclosed buys
Dan Newhouse
1 released SNPS buys ↗Valerie Hoyle
2 released SNPS buys ↗Lisa McClain
4 released SNPS buys ↗Jefferson Shreve
1 released SNPS buys ↗Byron Donalds
1 released SNPS buys ↗Rohit Khanna
7 released SNPS buys ↗Michael T McCaul
1 released SNPS buys ↗Tommy Tuberville
1 released SNPS buys ↗Josh Gottheimer
1 released SNPS buys ↗Disclosure-by-disclosure copy returns
| Member | Published | Modeled entry | Copy return to 2026-09-25 | SPY same dates | Original PTR |
|---|---|---|---|---|---|
| Dan Newhouse | 2026-01-15 | 2026-01-16 | -17.7% · $-177 per $1,000 | +12.2% · -29.9 pts excess | Official source ↗ |
| Valerie Hoyle | 2025-09-12 | 2025-09-15 | +1.4% · $14 per $1,000 | +18.1% · -16.7 pts excess | Official source ↗ |
| Lisa McClain | 2025-09-12 | 2025-09-15 | +1.4% · $14 per $1,000 | +18.1% · -16.7 pts excess | Official source ↗ |
| Valerie Hoyle | 2025-09-12 | 2025-09-15 | +1.4% · $14 per $1,000 | +18.1% · -16.7 pts excess | Official source ↗ |
| Lisa McClain | 2025-09-12 | 2025-09-15 | +1.4% · $14 per $1,000 | +18.1% · -16.7 pts excess | Official source ↗ |
| Lisa McClain | 2025-08-13 | 2025-08-14 | -31.1% · $-311 per $1,000 | +21.0% · -52.0 pts excess | Official source ↗ |
| Lisa McClain | 2025-08-13 | 2025-08-14 | -31.1% · $-311 per $1,000 | +21.0% · -52.0 pts excess | Official source ↗ |
| Jefferson Shreve | 2025-05-08 | 2025-05-09 | -12.0% · $-120 per $1,000 | +38.7% · -50.7 pts excess | Official source ↗ |
| Byron Donalds | 2024-11-08 | 2024-11-11 | Not measurable at shared close | Not measurable | Official source ↗ |
| Rohit Khanna | 2024-10-04 | 2024-10-07 | -14.1% · $-141 per $1,000 | +38.7% · -52.8 pts excess | Official source ↗ |
| Michael T McCaul | 2024-09-16 | 2024-09-17 | -15.4% · $-154 per $1,000 | +40.3% · -55.7 pts excess | Official source ↗ |
| Rohit Khanna | 2024-07-08 | 2024-07-09 | -30.1% · $-301 per $1,000 | +42.1% · -72.2 pts excess | Official source ↗ |
| Tommy Tuberville | 2024-05-15 | 2024-05-16 | -25.4% · $-254 per $1,000 | +49.9% · -75.3 pts excess | Official source ↗ |
| Rohit Khanna | 2024-03-06 | 2024-03-07 | -27.2% · $-272 per $1,000 | +54.4% · -81.6 pts excess | Official source ↗ |
| Rohit Khanna | 2024-02-05 | 2024-02-06 | -21.7% · $-217 per $1,000 | +60.9% · -82.6 pts excess | Official source ↗ |
| Rohit Khanna | 2021-11-09 | 2021-11-10 | +25.8% · $258 per $1,000 | +77.5% · -51.7 pts excess | Official source ↗ |
| Josh Gottheimer | 2019-04-05 | 2019-04-08 | +264.9% · $2649 per $1,000 | +197.4% · 67.5 pts excess | Official source ↗ |
| Rohit Khanna | 2018-03-09 | 2018-03-12 | +376.9% · $3769 per $1,000 | +215.6% · 161.3 pts excess | Official source ↗ |
| Rohit Khanna | 2017-08-10 | 2017-08-11 | +457.1% · $4571 per $1,000 | +263.7% · 193.4 pts excess | Official source ↗ |
Common questions
Who in Congress bought SNPS?
Dan Newhouse, Valerie Hoyle, Lisa McClain, Jefferson Shreve, Byron Donalds, Rohit Khanna, Michael T McCaul, Tommy Tuberville, Josh Gottheimer have publicly released SNPS purchase signals in CopyGov through 2026-09-20. Each row below links to its original filing.
When did Pelosi buy SNPS?
No Pelosi-household SNPS purchase is currently in CopyGov's released record through 2026-09-20.
What would copying have returned?
For the latest released SNPS buy, copying at the first close after publication returned -17.7% to 2026-09-25, compared with +12.2% for SPY over the same dates. The excess was -29.9 percentage points after 10 basis points per side.
The model enters at the first completed close after publication, not the original trade price, assumes 10 basis points per side, and ignores later sales. Verify ownership and amounts in the original PTR. Past outcomes are not forecasts.
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