Total complaints
1
Filed since I ha
1 consumer complaints recorded in the CFPB Consumer Complaint Database, with breakdowns by product, state, and complaint year.
1 consumer complaints filed with the CFPB
This profile shows I have XXXX auto loan through XXXX XXXX. I researched it's complaint history from CFPB public records. 1 consumers have filed complaints since I ha. The company has a 0% timely response rate and has provided relief in 0% of cases.
Total complaints
1
Filed since I ha
Timely response
0%
CFPB-tracked response window
Relief rate
0%
Closed with monetary or non-monetary relief
CFPB benchmark: response within 15 calendar days of filing.
Share closed with monetary or non-monetary relief.
How I have XXXX auto loan through XXXX XXXX. I researched it's 1 complaints split across CFPB product categories. Resolution rate badge = % closed with monetary or non-monetary relief.
| Product | Complaints |
|---|---|
| I had my FICO scores in the high XXXX 's and my XXXX scores in the low XXXX 's. Last XX/XX/XXXX | 1 |
| State | Complaints |
|---|---|
| and XXXX XXXX changed their format of the account number | 1 |
| Issue | Complaints |
|---|---|
| then XXXX nor XXXX decreased not even half or a third of what Transunion drops. In XXXX | 1 |
Source: CFPB Consumer Complaint Database CFPB Consumer Complaint Database
I have XXXX auto loan through XXXX XXXX. I researched it has accumulated 1 consumer complaint in the CFPB public database, with filings active across 1 U.S. state. Of those submissions, 1 includes a consumer narrative — the verbatim description of the reported problem that the CFPB collects alongside each filing. The earliest complaint on file dates back to I ha, and the most recent logged activity is I had work, giving this record a multi-year window of observable consumer sentiment.
Looking at response behavior, I have XXXX auto loan through XXXX XXXX. I researched it reports a 0% timely-response rate and has closed 0% of cases with a written explanation to the consumer. 0% of complaints were closed with monetary or non-monetary relief — an outcome signal that tracks how often consumers walked away with some form of remediation. A further 0% of responses were formally disputed by the consumer after the company replied, a useful marker of resolution quality independent of sheer volume. The most-reported product category for this record is "I had my FICO scores in the high XXXX 's and my XXXX scores in the low XXXX 's. Last XX/XX/XXXX", and the single most common underlying issue is "then XXXX nor XXXX decreased not even half or a third of what Transunion drops. In XXXX".
Complaint volume is heavily influenced by company size, customer base, and market footprint — larger financial institutions routinely carry more filings purely because they serve more consumers. A complaint is a consumer-reported allegation, not proven wrongdoing, and a timely or relief-flagged closure does not by itself confirm fault. Use this page as one input among many when evaluating I have XXXX auto loan through XXXX XXXX. I researched it: cross-check against the CFPB Consumer Complaint Database directly, review your own contract terms, and consult a licensed professional for financial, legal, or regulatory advice. This page is informational only.
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Disclaimer: This data is from CFPB public records. PlainComplaint does not provide financial advice. A complaint does not indicate that a company has violated any law or regulation. Complaint volumes are influenced by company size, customer base, and market presence. Use this data as one of many inputs when evaluating a company.
I have XXXX auto loan through XXXX XXXX. I researched it has received 1 consumer complaints filed with the Consumer Financial Protection Bureau.
I have XXXX auto loan through XXXX XXXX. I researched it has a 0% timely response rate to CFPB complaints.
The most common issue reported against I have XXXX auto loan through XXXX XXXX. I researched it is "then XXXX nor XXXX decreased not even half or a third of what Transunion drops. In XXXX" in the "I had my FICO scores in the high XXXX 's and my XXXX scores in the low XXXX 's. Last XX/XX/XXXX" product category.
Read our methodology — how this data is sourced, computed, and verified.