Orbit Garant Drilling Q3 Earnings Call Highlights
Orbit Garant Drilling TSE: OGD reported record third-quarter revenue and its highest drilling utiliz…

Quarterly loan origination volumes and conversion rates - primary indicator of platform adoption and borrower demand
Bank partner funding capacity and willingness to purchase loans - directly impacts revenue generation ability
Credit performance metrics on existing loan vintages - validates AI model accuracy and affects partner confidence
Federal Reserve interest rate policy and credit market conditions - determines borrower affordability and lender appetite
high - Loan origination volumes are highly sensitive to consumer confidence, employment stability, and discretionary spending capacity. During economic downturns, both borrower demand for unsecured personal loans declines and bank partners reduce funding allocations due to credit risk concerns. The company's revenue contracted significantly during 2022-2024 as rising rates reduced loan affordability and tightened credit conditions.
Extremely high sensitivity to interest rate levels. Rising rates impact the business through multiple channels: (1) increased borrower APRs reduce loan affordability and demand, (2) higher funding costs cause bank partners to reduce loan purchases or demand higher yields, (3) competition from risk-free Treasury yields makes unsecured consumer loans less attractive to institutional investors. The 2022-2023 rate hiking cycle caused origination volumes to decline over 60% from peak levels. Conversely, rate cuts in 2024-2025 have begun restoring origination momentum.
Regulatory scrutiny of AI-based lending algorithms - CFPB and state regulators examining fair lending compliance, potential for adverse action requirements that could limit model effectiveness
Competition from traditional banks deploying proprietary AI models - JPMorgan, Bank of America, and others investing heavily in machine learning underwriting capabilities
Secular shift toward embedded finance - point-of-sale lenders (Affirm, Klarna) and BNPL products capturing share of consumer credit demand
growth - Investors attracted to AI-driven disruption of traditional lending, high revenue growth potential during favorable credit cycles, and operating leverage story. Stock appeals to technology-focused growth investors rather than traditional financial services value investors. Extreme volatility and negative cash flow make it unsuitable for income or conservative investors.
Trend
+2.3% vs SMA 50 · -33.9% vs SMA 200
Momentum
Distribution pattern detected. More selling days than accumulation over the past 20 sessions. Not a conducive environment for a squeeze.
Based on volume distribution analysis. Direct short interest data (short float %, days to cover) is not available in current data sources.
Analyst consensus estimates · Actuals replace estimates as reported
| Year | Revenue Est. | Rev Gth | EPS Est. | EPS Gth | Range | Analysts |
|---|---|---|---|---|---|---|
FY2024 | $599.1M $598.2M–$601.7M | — | -$0.47 | — | ±4% | High10 |
FY2025 | $1.0B $1.0B–$1.1B | ▲ +73.0% | $1.67 | — | ±7% | High9 |
FY2026(current) | $1.4B $1.4B–$1.4B | ▲ +36.1% | $2.27 | ▲ +35.9% | ±10% | High10 |
Orbit Garant Drilling TSE: OGD reported record third-quarter revenue and its highest drilling utiliz…

Upstart is a leading AI lending platform partnering with banks to expand access to affordable credit. By leveraging Upstart's AI platform, Upstart- powered banks can have higher approval rates and lower loss rates, while simultaneously delivering the exceptional digital-first lending experience their customers demand. More than two-thirds of Upstart loans are approved instantly and are fully automated. Upstart was founded by ex-Googlers in 2012 and is based in San Mateo, California and Columbus, Ohio.
| Symbol | Price | Day % | Mkt Cap↓ | P/E | Rev Grw | Margin | ELO |
|---|---|---|---|---|---|---|---|
UPST◀ | $29.51 | -0.67% | $2.8B | 57.9 | +5887.5% | 498.4% | 1500 |
| $297.81 | -0.70% | $798.0B | 14.1 | +330.7% | 2039.3% | 1503 | |
| $325.75 | +1.00% | $624.4B | 28.0 | +1134.0% | 5014.5% | 1500 | |
| $494.20 | +0.87% | $436.7B | 28.3 | +1641.6% | 4564.7% | 1490 | |
| $49.77 | -0.16% | $353.2B | 11.4 | -45.1% | 1592.6% | 1495 | |
| $192.51 | -1.04% | $303.6B | 16.6 | +1147.7% | 1466.4% | 1526 | |
| $948.47 | -2.11% | $279.8B | 15.9 | -138.4% | 1373.0% | 1526 | |
| Sector avg | — | -0.40% | — | 24.6 | +1422.6% | 2364.1% | 1506 |