Texas Ethics Commission data
Release v1.4
Source snapshot September 17, 2026
Latest eligible reported transaction September 15, 2026
Canonical Vendor
Imperium Public Affairs
Resolved vendor identity assembled from reviewed Texas Ethics Commission payee records.
Canonical vendor · Vendor ID 156100 · Resolution: Indexed Canonical Identity
Total Payments
$1,189,427.44
Client Filers
2
Payments
331
Activity Range
10/01/2012–06/12/2026
Largest Payment
$7,850.00
Graph: 2 connected filers · 331 payments · $1,189,427.44 represented
Canonical vendor assembled from reviewed Texas Ethics Commission reported payee identities. Source records remain unchanged.
Reported Names
Payee names preserved from the reported/curated source layer and resolved to this canonical vendor.
- Imperium Public Affairs
Top Client Filers
Canonical client relationships from vendor_clients_canonical.
| # | Filer | Paid | Payments | Last Payment |
|---|---|---|---|---|
| 1 | Texas Radiological Society Political Action Committee | $1,187,582.36 | 328 | 06/12/2026 |
| 2 | Texas College Of Emergency Physicians PAC | $1,845.08 | 3 | 06/28/2018 |
Shared Client Network
Other canonical vendors paid by the same filer clients. Ranked by shared-client count.
This is a structural overlap measure, not evidence of affiliation or coordination.
| Vendor | Shared Clients | Focal Coverage | Peer Clients | Network Overlap |
|---|---|---|---|---|
|
Diane Delisi Campaign
Vendor ID 90252
|
2 | 100.0% | 7 | 28.6% |
|
Texas Medical Association
Vendor ID 312663
|
2 | 100.0% | 23 | 8.7% |
|
JIM JACKSON CAMPAIGN
Vendor ID 165338
|
2 | 100.0% | 60 | 3.3% |
|
ELLIOTT NAISHTAT CAMPAIGN
Vendor ID 103605
|
2 | 100.0% | 73 | 2.7% |
|
KYLE JANEK CAMPAIGN
Vendor ID 182696
|
2 | 100.0% | 73 | 2.7% |
|
SUSAN KING CAMPAIGN
Vendor ID 301164
|
2 | 100.0% | 75 | 2.7% |
|
BOB DEUELL CAMPAIGN
Vendor ID 37858
|
2 | 100.0% | 84 | 2.4% |
|
JOHN DAVIS CAMPAIGN
Vendor ID 167668
|
2 | 100.0% | 88 | 2.3% |
|
MARTHA WONG CAMPAIGN
Vendor ID 204894
|
2 | 100.0% | 87 | 2.3% |
|
BEVERLY WOOLLEY CAMPAIGN
Vendor ID 33184
|
2 | 100.0% | 105 | 1.9% |
|
DAN GATTIS CAMPAIGN
Vendor ID 83595
|
2 | 100.0% | 108 | 1.9% |
|
ELLEN COHEN CAMPAIGN
Vendor ID 103511
|
2 | 100.0% | 104 | 1.9% |
Method: Focal Coverage = shared clients ÷ this vendor's client count.
Network Overlap = Jaccard similarity: shared clients ÷ union of both client sets.
Recent Reported Payments
| Date | Client Filer | Amount | Description |
|---|---|---|---|
| 06/12/2026 | Texas Radiological Society PAC | $7,850.00 | Lobbyist |
| 06/12/2026 | Texas Radiological Society PAC | $384.02 | monthly expenses |
| 05/15/2026 | Texas Radiological Society PAC | $7,850.00 | Lobbyist |
| 05/15/2026 | Texas Radiological Society PAC | $629.28 | monthly expenses |
| 01/16/2026 | Texas Radiological Society PAC | $7,850.00 | Lobbyist |
| 01/16/2026 | Texas Radiological Society PAC | $170.47 | monthly expenses |
| 12/12/2025 | Texas Radiological Society PAC | $7,200.00 | Lobbyist |
| 12/12/2025 | Texas Radiological Society PAC | $189.57 | monthly expenses |
| 11/14/2025 | Texas Radiological Society PAC | $7,200.00 | Lobbyist |
| 11/14/2025 | Texas Radiological Society PAC | $373.96 | monthly expenses |
| 10/10/2025 | Texas Radiological Society PAC | $7,200.00 | Lobbyist |
| 10/10/2025 | Texas Radiological Society PAC | $477.04 | monthly expenses |
| 09/12/2025 | Texas Radiological Society PAC | $7,200.00 | Lobbyist |
| 09/12/2025 | Texas Radiological Society PAC | $174.00 | monthly expenses |
| 08/15/2025 | Texas Radiological Society PAC | $7,200.00 | Lobbyist |
| 08/15/2025 | Texas Radiological Society PAC | $653.63 | monthly expenses |
| 07/09/2025 | Texas Radiological Society PAC | $7,200.00 | Lobbyist |
| 06/06/2025 | Texas Radiological Society PAC | $7,200.00 | lobbyist |
| 06/06/2025 | Texas Radiological Society PAC | $608.09 | monthly expenses |
| 05/09/2025 | Texas Radiological Society PAC | $7,200.00 | lobbyist |
Evidence basis: A canonical vendor identity was resolved using the curated vendor layer. Raw reported-payee statistics remain separate from canonical vendor statistics so the source record and analytical identity are distinguishable.