Gladstone Capital Corporation
GLAD scores 47.2 on the Conservative profile, blending a fundamental score (80% weight, emphasizing quality and stability (84% of fundamental weight)) with a machine-learning signal (20% weight) trained on 82 features across 30 years of data.
Net penalties of -15.0 points significantly impact the ranking. Without these adjustments, GLAD would rank considerably higher.
These features are direct inputs to the machine learning model. The model was trained on these signals alongside 100 features (including 12 momentum/technical indicators) to produce the ML percentile score.
| Stock | Score | P/E | Rev Growth | Margin | Mkt Cap |
|---|---|---|---|---|---|
| GLAD | 47.2 | 11.3 | 20.4% | 63.0% | $419M |
| CME | 84.9 | 27.2 | 9.9% | 57.5% | $112.1B |
| CINF | 82.4 | 10.7 | 11.4% | 18.9% | $25.8B |
| ACT | 81.9 | 8.9 | 2.4% | 54.6% | $6.1B |
| SEIC | 81.0 | 14.0 | 10.7% | 27.3% | $10.1B |
| TROW | 79.5 | 10.1 | 3.1% | 28.5% | $21.1B |
| FHB | 78.1 | 11.8 | 3.2% | 24.2% | $3.2B |
| MCHB | 77.4 | N/A | 123.7% | 23.2% | $3.3B |
| TRMK | 75.7 | 11.9 | 34.8% | 19.3% | $2.7B |
| BCAL | 74.4 | 9.9 | 26.2% | 27.1% | $605M |
| NMIH | 73.9 | 7.7 | 8.4% | 55.1% | $3.1B |
| TW | 73.1 | 30.0 | 18.9% | 39.6% | $26.2B |
| VCTR | 73.1 | 18.3 | 8.8% | 32.3% | $4.7B |
| FFIN | 73.1 | 18.8 | 11.7% | 30.7% | $4.8B |
| VLY | 72.5 | 12.5 | -2.2% | 17.1% | $7.4B |
| QQQX | 72.0 | 10.4 | 48.6% | 257.3% | $1.4B |
| Sector Average | 45.7 | 26.8 | 13.4% | -2.8% | โ |
Gladstone Capital Corporation is a business development company specializing in lower middle market, growth capital, add on acquisitions, change of control, buy & build strategies, debt refinancing, debt investments in senior term loans, revolving loans, secured first and second lien term loans, senior subordinated loans, unitranche loans, junior subordinated loans, and mezzanine loans and equity investments in the form of common stock, preferred stock, limited liability company interests, or warrants. It operates as a business development company. The fund also makes private equity investments in acquisitions, buyouts and recapitalizations, and refinancing existing debts. It targets small and medium-sized companies in United States. It is industry agnostic and seeks to invest in companies engaged in the business services, light and specialty manufacturing, niche industrial products and services, specialty consumer products and services, energy services, transportation and logistics, healthcare and education services, specialty chemicals, media and communications and aerospace and defense. The fund seeks to invest between $7 million and $30 million in companies that have between $20 million and $150 million in sales and EBITDA between $3 million and $25 million. It prefers to acquire minority stakes. It seeks to exit its investments through strategic acquisitions by other industry participants or financial buyers, initial public offerings of common stock, or other capital market transactions.
Stock is in a downtrend below the 200-day moving average. Price is below both the 50-day and 200-day SMAs, indicating sustained selling pressure.
| Metric | Q1 2025 | Q4 2025 | Q3 2025 | Q2 2025 |
|---|---|---|---|---|
| Revenue | $13M | $20M | $12M | $13M |
| Gross Profit | $7M | $15M | $8M | $8M |
| Operating Income | $6M | $14M | $8M | $9M |
| Net Income | $6M | $14M | $8M | $9M |
| EPS (Diluted) | $0.19 | $0.59 | $0.33 | $0.39 |
| Gross Margin | 52.8% | 71.7% | 63.3% | 62.7% |
| Operating Margin | 47.1% | 69.9% | 63.5% | 66.8% |
| Net Margin | 47.1% | 69.9% | 63.5% | 66.8% |
This stock has limited trading volume and/or float. Institutional investors may face difficulty entering or exiting positions without significant price impact. A post-hoc penalty has been applied to the composite score (this is not a backtested model factor โ it is a practical tradability overlay).
Growth estimates have been dampened based on technical and fundamental signals. This is a post-hoc adjustment to prevent overly optimistic projections for stocks showing declining momentum or deteriorating fundamentals.
Scores are generated by a multi-stage ML pipeline combining fundamental analysis, ensemble predictions, and structural risk signals. All data is for research purposes only and does not constitute financial advice. Past performance does not guarantee future results.