QuantCapitol. Congressional Trading Intelligence

Updated 2026-11-05 00:23 UTC · Public disclosure record

78AVG SCORE

John Larson

House Democrat CT
House Committee on Ways and MeansSocial SecurityTrade

John Larson has disclosed 32 stock transactions — 0 buys, 32 sells, each ranked by how much scrutiny it deserves and linked to its original House filing. A transparency record.

⚑
2 potential conflicts of interest. Larson sits on committee(s) overseeing Finance, and made 2 trades in that sector (marked ⚑ below). This is a transparency signal, not an allegation of wrongdoing — such trades are often entirely legitimate.
32
Total trades
0
Buy
32
Sell
16
Avg. disclosure delay (days)
Estimated net worth 2024 financial disclosure · source ↗
$1,509,033 – $3,611,000
A range, because disclosures report assets and liabilities only in bands — never an exact figure. It's what lets us gauge how big each trade is relative to Larson's own wealth (the % of NW tags in the table below), so a small portfolio taking a real swing stands apart from pocket change. An estimate for context, not an allegation.

Track record Congressional Trading Performance

Two figures per horizon, both hypothetical and not investment advice: Member's own — what the trade returned if you'd bought when Larson did (not public yet, so not replicable); and If you'd followed — buying only after the disclosure went public, which is what a follower could actually do. The gap between them is the cost of the disclosure lag.

1 month
insufficient data
0 of 0 priced
3 months
insufficient data
0 of 0 priced
6 months
insufficient data
0 of 0 priced
1 year
insufficient data
0 of 0 priced
3 years
insufficient data
0 of 0 priced

The count falls at longer horizons because recent trades haven't completed the full window yet — a return that hasn't happened is never estimated (no look-ahead). Only buys with usable price data are counted.

Where they trade Favorite Sectors

Distribution of this politician's trades across sectors (of trades with a known sector — bonds and funds are excluded).

Technology
10 (43%)
Retail & Wholesale
4 (17%)
Finance
2 (9%)
Food & Agriculture
2 (9%)
Insurance
1 (4%)
Health
1 (4%)
Energy
1 (4%)
Utilities
1 (4%)
Business Services
1 (4%)

Traded the same stocks, same time Co-Investors in Congress

Other members who traded the same tickers within 30 days of Larson's trades in them. A high overlap can reflect shared information, shared advisors, or simply popular stocks — it is not evidence of coordination.

PoliticianOverlapping tradesShared tickers
Donald Sternoff Beyer 22 AAPL, ILMN, MSFT, NSRGY, UNH
Joe Courtney 9 AAPL, COST, DHR, HD, JPM, MSFT, STZ, TMO +1
Josh Gottheimer 8 AAPL, MA, MSFT, SSNC
Dean Phillips 4 NSRGY, UNH
Thomas Suozzi 4 AAPL, JPM, MSFT
Lois Frankel 3 DHR, SSNC, TMO
Michael John Gallagher 3 AAPL, MCD, MSFT
Roger Marshall 3 AAPL
Richard Allen 2 SBUX, UTX
Bob Gibbs 2 AAPL
Lloyd Smucker 1 AAPL
Alan Lowenthal 1 AAPL

Corporate insiders · SEC Form 4 Overlap with Insiders

On the trades where corporate insiders were also active, how often did John Larson move the same way as the company's own officers and directors (within 60 days)? Co-occurrence only — context from public Form 4 filings, never proof of coordination, and tested honestly for whether it means anything.

0%
of checkable trades converged
avg 20% across all members
0
converged (of 22 checkable)
0
diverged

John Larson's convergence rate of 0% is lower than the 20% average across all members. "Checkable" = trades on tickers where insiders were also trading, so convergence could even be measured.

Descriptive only — insider convergence is context from public SEC Form 4 filings, never proof of coordination or wrongdoing, and not investment advice.

30 trades Recent Transactions

Marker key: ⚑ potential conflict (a committee Larson sits on oversees that sector) · ◆ corporate-insider overlap from SEC Form 4 (convergence/divergence — context, not a signal) · % of NW trade size vs estimated net worth, 🔥 marking high/extreme conviction · OCR recovered from a scanned filing (verify against source) · ×N filings the same trade disclosed more than once (shown once). None is an allegation of wrongdoing.

TickerCompanyTypeDateFiledLagPrice move
in that
window
AmountScoreSource
TMO Thermo Fisher Scientific Inc. SELL 2019-12-18 2020-01-03 16 days — $1K–$15K
0.3% of NW
86.8 ↗ filing
UTX United Technologies SELL 2019-12-18 2020-01-03 16 days — $1K–$15K
0.3% of NW
86.8 ↗ filing
UNH Unitedhealth Group Inc. SELL 2019-12-18 2020-01-03 16 days — $1K–$15K
0.3% of NW
86.8 ↗ filing
⚑ WY Weyerhaeuser Co. SELL 2019-12-18 2020-01-03 16 days — $1K–$15K
0.3% of NW
98.8 ↗ filing
ZTS Zoetis Inc. SELL 2019-12-18 2020-01-03 16 days — $15K–$50K
1.3% of NW
90.9 ↗ filing
ADBE Adobe Inc. SELL 2019-12-18 2020-01-03 16 days — $1K–$15K
0.3% of NW
75.9 ↗ filing
— Alcoa SELL 2019-12-18 2020-01-03 ×3 filings 16 days — $15K–$50K
1.3% of NW
56.6 ↗ 1 ↗ 2 ↗ 3
— Allergan SELL 2019-12-18 2020-01-03 16 days — $1K–$15K
0.3% of NW
40.4 ↗ filing
APH Amphenol Corp. SELL 2019-12-18 2020-01-03 16 days — $1K–$15K
0.3% of NW
75.9 ↗ filing
AAPL Apple Inc. SELL 2019-12-18 2020-01-03 16 days — $1K–$15K
0.3% of NW
98.0 ↗ filing
STZ Constellation Brands, Inc. SELL 2019-12-18 2020-01-03 16 days — $1K–$15K
0.3% of NW
75.9 ↗ filing
COST Costco Wholesale Corp. SELL 2019-12-18 2020-01-03 16 days — $1K–$15K
0.3% of NW
75.9 ↗ filing
DHR Danaher Corp. SELL 2019-12-18 2020-01-03 16 days — $1K–$15K
0.3% of NW
86.8 ↗ filing
ENB Enbridge Inc. SELL 2019-12-18 2020-01-03 16 days — $1K–$15K
0.3% of NW
75.9 ↗ filing
FTV Fortive Corp. SELL 2019-12-18 2020-01-03 16 days — $1K–$15K
0.3% of NW
75.9 ↗ filing
HD Home Depot, Inc. SELL 2019-12-18 2020-01-03 16 days — $1K–$15K
0.3% of NW
75.9 ↗ filing
ILMN Illumina, Inc. SELL 2019-12-18 2020-01-03 16 days — $1K–$15K
0.3% of NW
75.9 ↗ filing
⚑ JPM Jpmorgan Chase & Co. SELL 2019-12-18 2020-01-03 16 days — $1K–$15K
0.3% of NW
99.3 ↗ filing
KMI Kinder Morgan, Inc. SELL 2019-12-18 2020-01-03 16 days — $1K–$15K
0.3% of NW
75.9 ↗ filing
MA Mastercard Inc. SELL 2019-12-18 2020-01-03 16 days — $1K–$15K
0.3% of NW
86.8 ↗ filing
MCD Mcdonalds Corp. SELL 2019-12-18 2020-01-03 16 days — $1K–$15K
0.3% of NW
86.8 ↗ filing
MTD Mettler Toledo International Inc/ SELL 2019-12-18 2020-01-03 16 days — $1K–$15K
0.3% of NW
75.9 ↗ filing
MSFT Microsoft Corp. SELL 2019-12-18 2020-01-03 16 days — $1K–$15K
0.3% of NW
93.1 ↗ filing
MDLZ Mondelez International, Inc. SELL 2019-12-18 2020-01-03 16 days — $1K–$15K
0.3% of NW
75.9 ↗ filing
NSRGY Nestle Sa Sponsored Adr SELL 2019-12-18 2020-01-03 16 days — $1K–$15K
0.3% of NW
86.8 ↗ filing
PBCT People'S United Financial SELL 2019-12-18 2020-01-03 16 days — $1K–$15K
0.3% of NW
75.9 ↗ filing
ROLL Rbc Bearings SELL 2019-12-18 2020-01-03 16 days — $1K–$15K
0.3% of NW
75.9 ↗ filing
SSNC Ss&C Technologies Holdings Inc. SELL 2019-12-18 2020-01-03 16 days — $1K–$15K
0.3% of NW
75.9 ↗ filing
SBUX Starbucks Corp. SELL 2019-12-18 2020-01-03 16 days — $1K–$15K
0.3% of NW
75.9 ↗ filing
TRP Tc Energy Corp. SELL 2019-12-18 2020-01-03 16 days — $1K–$15K
0.3% of NW
75.9 ↗ filing

A trade can appear in more than one filing (e.g. a periodic transaction report and a later annual disclosure). Those are shown once here — marked ×N filings, with a link to each — so the table reflects distinct trades, while the 32 total above counts every disclosed line.

FAQ Common questions

How many stock trades has John Larson disclosed?

32 disclosed stock transactions — 0 buys and 32 sells — all from official House financial disclosures.

Is this insider trading?

No. QuantCapitol surfaces the timing and context of publicly disclosed trades for transparency. A trade near related legislation is a coincidence we flag — never an accusation of wrongdoing.

Where does this data come from?

Official US House Clerk and Senate electronic financial disclosures. Every trade links back to its original filing so you can verify it yourself.

About this data. Sourced from official House Clerk and Senate eFD financial disclosures (Senate via a maintained community mirror — see project documentation). Transaction amounts are reported as ranges, not exact figures. Interest scores, consensus labels, and backtested performance are proprietary analytical calculations based on public data and are not investment advice. Backtested performance is a hypothetical simulation, not actual portfolio performance.