MEDIUMBuilt-inProduct / Revenue mix
Private Education Loans
“10-K Item 1A: 'Our core product offerings are primarily concentrated in loan products for higher education, specifically Private Education Loans'”
SLMBP · Concentration risk · 10-K extracted
SLM Corporation - Floating Rate (SLMBP) concentration risks
Updated
The most significant concentration SLM Corporation - Floating Rate discloses is Private Education Loans, classified MEDIUM by disclosed size. Below: the full set from the latest 10-K — verbatim quotes, filing references, and a synthesis of what these exposures mean together.
Model-generated analysis — not investment advice. Not a registered investment advisor. Past performance does not guarantee future results.
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Source: SLM Corporation - Floating Rate’s SEC Form 10-K filed — view the filing on SEC EDGAR ↗
At a glance
Disclosed-size breakdown · 2 disclosed concentrations
HIGH0
MEDIUM2
LOW0
Disclosed concentrations
Each card carries a disclosed-size chip (HIGH / MEDIUM / LOW — how large the exposure is as a share of revenue, not how dangerous it is) and a nature tag: Built-in(the company’s own model, geography, or products) or Outside party (an external customer, supplier, or distributor it relies on).
MEDIUMBuilt-inLoan_portfolio
online deposit products
“10-K Item 1A: 'Our deposit funding base is primarily concentrated in online deposit products, including high-yield savings accounts, money market accounts, and certificates of deposit'”
TrendMatrix Research · concentration synthesis
What these concentrations mean together
updated 2026-06-24The company's disclosed concentration profile has two moderate-share structural exposures that mirror each other on the asset and liability sides of the balance sheet. Core product offerings are primarily concentrated in loan products for higher education, specifically Private Education Loans, a moderate-share structural exposure reflecting a deliberate focus on one product category within consumer lending. This product focus means credit performance, regulatory developments affecting student lending, and the labor market and earnings outcomes of borrowers are the dominant variables driving asset quality and revenue — rather than a diverse mix of lending categories that would provide some cross-cycle insulation. On the funding side, the deposit base is primarily concentrated in online deposit products, including high-yield savings accounts, money market accounts, and certificates of deposit, a moderate-share structural exposure. Online deposits are efficient to gather and competitively priced, but they tend to be more rate-sensitive than traditional branch-based deposits, which means the cost of funding can reprice more quickly in rising-rate environments and deposit retention may be more sensitive to competitive rate comparisons. The two exposures are structurally linked: the business model of originating private education loans and funding them primarily with online deposits creates a balance sheet where both the asset quality and the funding cost are sensitive to economic and rate conditions, with limited diversification on either side. The student loan asset class and the online deposit funding channel reinforce each other when rates are stable and credit conditions are benign, but both can be pressured simultaneously in adverse environments. These are the primary variables to monitor.
For the engine’s reasoning on SLMBP’s current verdict — including which dimensions drove the score — see the per-dimension breakdown.
Industry peers · Credit Services
Peer concentration profile
| Symbol | Name | HIGH | MEDIUM | LOW | Total |
|---|---|---|---|---|---|
| AGM | Federal Agricultural Mortgage C | 3 | 0 | 0 | 3 |
| AGM-A | Federal Agricultural Mortgage C | 3 | 0 | 0 | 3 |
| AFRM | Affirm Holdings, Inc. | 2 | 1 | 0 | 3 |
| AXP | American Express Company | 0 | 3 | 1 | 4 |
| SLMBP● | SLM Corporation - Floating Rate | 0 | 2 | 0 | 2 |
| ALLY | Ally Financial Inc. | 0 | 1 | 0 | 1 |
Concentration counts reflect items disclosed in each peer’s most recent 10-K; disclosed-size classification uses TrendMatrix’s internal 10-K extraction taxonomy.