DFX Intelligence

Allocator Intelligence

The capital-owner graph behind private markets. Who owns the capital, who decides, how much, under what policy, on whose advice, to which managers, and what changed, with a source and a date behind every row. A target is never an actual, a disclosed holding is never an approval, and an estimate says so.

Taft-Hartley plan

I.L.A. Prssa Pension Plan

Taft-Hartley planSAN Juan
Assets
$108M
Total assets, Sep 30, 2025 reported
Funded
n/a
not filed
Private markets target
n/a
policy Sep 30, 2025
Commitments
0
none on the tape
Plan sponsor: I.L.A. Prssa Pension Plan
Allocation policy
Form 5500, as of Sep 30, 2025
Actual allocation lines without a target (as filed)
  • Interest-bearing cash 4.7%
  • U.S. Government securities 34.3%
  • Common stock 19.3%
Consultants and advisers
3 firms
People
No investment staff or executives have been read for this allocator yet.
Manager roster
No manager relationship is on the tape for this allocator.
Commitments
No fund commitments are on the tape for this allocator. The tape holds the plans that publish their own private-markets reports; a plan that publishes one and is not here is a gap we can close.
Size and funding
21 readings
Total assets
$108M Sep 30, 2025 reported Form 5500
$109M (2024-09) · $103M (2023-09)
Net assets
$108M Sep 30, 2025 reported Form 5500
$108M (2024-09) · $103M (2023-09)
Participants
815 Oct 1, 2024 reported Form 5500
834 (2023-10) · 864 (2022-10)
Contributions
$0 Sep 30, 2025 reported Form 5500
$0 (2024-09) · $0 (2023-09)
Benefits paid
$7.2M Sep 30, 2025 reported Form 5500
$7.4M (2024-09) · $7.6M (2023-09)
Net investment income
$-65,191 Sep 30, 2025 reported Form 5500
$5.2M (2024-09) · $-8.5M (2023-09)
Investment management fees
$297,254 Sep 30, 2025 reported Form 5500
$288,908 (2024-09) · $284,343 (2023-09)
Form 5500 filings
3 plan years
Plan yearParticipantsAssets (SB market)Funding targetFTAPTotal assets (H)Partnerships / JVMaster trustReal estate
2024 to Sep 30, 2025815n/an/an/a$108Mn/an/an/a
2023 to Sep 30, 2024834n/an/an/a$109Mn/an/an/a
2022 to Sep 30, 2023864n/an/an/a$103Mn/an/an/a
Service providers and investment entities as filed (Schedule C and D, latest year first)
  • MD Sass codes 27 28 50 $297,254 PY2024
  • Oscar Rodriguez Cordova codes 14 50 $78,185 PY2024
  • The Segal Company codes 11 50 $54,079 PY2024
  • Crowe Pr Psc codes 10 50 $35,000 PY2024
  • Luis Sierra codes 10 50 $34,230 PY2024
  • LOU Ann Mathews Diaz codes 15 50 $26,281 PY2024
  • Trucker Huss a Professional Company codes 29 50 $24,238 PY2024
  • Mendoza Law Offices codes 29 50 $13,688 PY2024
  • Rafael Cortina-Yace codes 14 50 $13,000 PY2024
  • Fifth Third Bank codes 18 19 50 $11,999 PY2024
  • MD Sass codes 27 28 50 $288,908 PY2023
  • Oscar Rodriguez Cordova codes 14 50 $75,300 PY2023
  • Rafael Cortina-Yace codes 14 50 $51,390 PY2023
  • The Segal Company codes 11 50 $50,920 PY2023
  • Trucker Huss a Professional Company codes 29 50 $42,652 PY2023
  • Luis Sierra codes 10 50 $41,484 PY2023
  • Crowe Pr Psc codes 10 50 $33,600 PY2023
  • LOU Ann Mathews Diaz codes 15 50 $23,890 PY2023
  • Mendoza Law Offices codes 29 50 $18,263 PY2023
  • Fifth Third Bank codes 18 19 50 $11,751 PY2023
  • MD Sass codes 27 28 50 $273,248 PY2022
  • The Segal Company codes 11 50 $82,394 PY2022
  • Trucker Huss a Professional Company codes 29 50 $81,635 PY2022
  • Rafael Cortina-Yace codes 14 50 $78,478 PY2022
  • Luis Sierra codes 10 50 $41,671 PY2022
  • Crowe Pr Psc codes 10 50 $32,000 PY2022
  • Oscar J Rodriguez Cordova codes 14 50 $25,846 PY2022
  • Louann Mathews Diaz codes 15 50 $23,120 PY2022
  • Mendoza Law Offices codes 29 50 $13,500 PY2022
  • Fifth Third Bank codes 18 19 50 $11,095 PY2022
What changed
No dated events yet.
Board record: approvals, recommendations, searches, terminations and re-up prospects for this system.
Provenance
Identifiers: EIN-PN 510151862-001
Cross-graph: no entry on another DFX graph
First observed Sep 15, 2026, last observed Sep 15, 2026. Classification confirmed. Every row above carries its source; a reported figure is the subject’s own, a derived one is arithmetic on reported figures, an estimated one is a model or a survey imputation and is never summed into a headline.