PNC BANK N.A. (2025)
Official HMDA public records summary of residential mortgage lending for PNC BANK N.A.. Review underwriting credit decisions, consumer product distribution, and national lending volume.
Lender Profile
#51 of 2,712
11,655
Loans Originated
• 0.29% National Market Share
• $5.10 Billion Originated Volume
• $275,000 Median Loan
Actionable Applications
13,925
Decisioned (Actions 1–3)
Approval Rate
84.68%
84.68% of actionable
Denial Rate
15.32%
15.32% of actionable
Loan Originations
11,655
83.70% funded rate
Originated Volume
$5.10 Billion
Median: $275,000
Application Outcomes (2025)
Outcomes for 13,925 actionable applications (Actions 1, 2, and 3).
Action 1: Originated
11,655
(83.70%)
Action 2: Approved not accepted
136
(0.98%)
Action 3: Denied
2,134
(15.32%)
Action 4: Withdrawn (not in denominator)
3,735
—
Action 5: Incomplete (not in denominator)
145
—
How to read this: Approval rate uses Actions 1, 2, and 3. Actions 4 and 5 are excluded from the credit decision denominator. Read the full methodology →
How PNC BANK N.A. Compares
Institution vs. National Baseline (2025)
| Metric | PNC BANK N.A. | U.S. National |
|---|---|---|
| Actionable Apps | 13,925 | 5,197,320 |
| Approval Rate | 84.68% | 82.12% |
| Denial Rate | 15.32% | 17.88% |
| Originations | 11,655 | 4,052,301 |
| Originated Volume | $5.10 Billion | $1.58 Trillion |
| Median Loan | $275,000 | $325,000 |
Loan Product Mix (2025)
Distribution across Conventional, FHA, VA, and USDA loan types
| Loan Product | Apps | Originations | Approval % |
|---|---|---|---|
| Conventional | 12,888 | 10,936 | 85.89% |
| FHA | 752 | 489 | 65.29% |
| VA | 271 | 221 | 81.92% |
| USDA/RHS/FSA | 14 | 9 | 64.29% |
Regulatory & Corporate Profile
Official entity details from CFPB Transmittal Sheet
Legal Entity Identifier (ISO 17442 LEI)
AD6GFRVSDT01YPT1CS68
Reported Corporate Headquarters
Pittsburgh, PA
National Origination Rank
Rank #51 by Action 1 Originations
Data Collection Basis
Regulation C (12 CFR Part 1003) Annual LAR Submission
Methodology
Learn how HMDA credit outcomes, action codes, and consumer filters are computed.
Read Methodology →Top 100 Lenders
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