News

Reasons Lenders Lose Deals

Insights
Lenders often analyze why borrowers default, but far fewer systematically review why they lose good deals to competitors. Yet in an increasingly crowded private credit and venture debt market, deal attrition is frequently driven less by pricing and more by process, communication, and perceived flexibility.

The Competitive Context

Demand for private credit is surging as companies seek alternatives to traditional bank financing and as investors search for yield. Non-bank lenders, asset managers, and specialty finance platforms are competing aggressively for quality deals, and many are differentiating through speed and borrower experience rather than simply through price.

In that environment, the main reasons lenders lose deals cluster around three themes: slow process and communication, over-analysis upfront, and overly conservative or misaligned offers.

Slow Process and Poor Communication

Customer expectations for business lending have risen sharply, shaped by digital experiences in consumer finance and other industries. Borrowers—especially tech-savvy founders and CFOs—expect clarity, speed, and transparency throughout the credit process.

Lenders often lose deals when:

  • Weeks pass between information submission and initial feedback, with no interim updates
  • Borrowers receive inconsistent messages from relationship managers, underwriters, and credit committee representatives
  • Key milestones (like credit committee dates) are opaque or repeatedly pushed back

Analyses of underwriting workflows show that manual reviews and siloed systems are major bottlenecks, making it difficult to balance efficiency with nuanced decision-making. Workflow automation and collaboration platforms demonstrate that institutions can cut approval times significantly while providing real-time status updates and notifications.

From the borrower's perspective, a lender that communicates clearly—"data review by this date, committee on that date, decision by this date"—and sticks to those timelines quickly becomes a preferred partner, even if pricing is slightly higher.

Over-analyzing Upfront and "Analysis Paralysis"

Underwriting is expensive and time-consuming, so lenders naturally want to de-risk early. However, front-loading every possible data request before providing any directional guidance can create frustration and signal indecision.

Typical mistakes include:

  • Requiring deep cohort, contract, and customer-level data before sharing even a rough sense of facility size or pricing range
  • Running multiple internal scenario models without explaining the key drivers or information gaps to the borrower
  • Escalating to committee discussions while still unclear on the borrower's must-haves and deal breakers

Best practice, as reflected in lending automation and credit decisioning literature, is to adopt a staged approach: use lightweight screening and standardized data to give early "guardrails," then drill deeper only once mutual interest is confirmed. This approach respects borrowers' time and allows lenders to allocate their underwriting resources more efficiently.

Overly Conservative Offers and Misaligned Structures

Even when process and communication are solid, lenders lose deals when their term sheets feel out of touch with the borrower's reality or with competing offers. In private credit, spreads and covenant packages vary widely, and more flexible lenders are often willing to adapt structures to specific growth plans.

Common pain points for borrowers include:

  • Leverage levels far below what the business can reasonably support
  • Heavy, inflexible covenants that constrain hiring, product development, or marketing
  • Short maturities or aggressive amortization schedules that do not match cash-flow patterns

Private credit analyses warn that aggressive market growth can weaken underwriting standards, but they also note that well-structured, sponsor-backed deals with appropriate covenants can balance lender protection and borrower flexibility. Lenders that rigidly apply "one-size-fits-all" policies risk losing strong borrowers to competitors that take a more nuanced view.

A Timeline Example of a Lost Deal

Consider a growth-stage SaaS company simultaneously engaging two lenders. Both receive the same data room. Lender A responds within one week with a preliminary range for facility size, a clear process timeline, and a small set of follow-up questions. Lender B goes silent for two weeks while internal teams debate how to structure SaaS exposure.

When Lender B finally returns with an initial view, the company already has a competitive term sheet from Lender A, including:

  • A facility sized to recurring revenue with a reasonable liquidity covenant
  • Clear closing steps and a target signing date
  • Flexibility around use of proceeds for product and sales expansion

Lender B's term sheet, by contrast, includes conservative limits on additional spend and heavier financial covenants. Even if Lender B's reputation is strong, the borrower chooses Lender A because of speed, transparency, and better alignment with growth objectives.

How Lenders Can Win More of the Right Deals

Institutions that want to win consistently in competitive markets are increasingly:

  • Investing in automation to reduce manual steps and speed decision-making
  • Training front-line teams to set expectations clearly and manage communication proactively
  • Using market data and sponsor analysis to tailor structures to growth-stage realities while maintaining disciplined underwriting standards

By doing so, lenders shift from being perceived as slow, opaque capital providers to being seen as strategic partners—without sacrificing risk discipline.


We believe the industry benefits from an open discussion on these trends. If you've been working to address deal attrition in your firm, or if any of the points on process, upfront analysis, or structure resonated with your experience, we would value your insights. Please feel free to share your perspective as we continue to track these shifts in the private credit market.