Institutional-Grade
Shipping & Offshore
Research
Models, data, and research for investors allocating capital across shipping and offshore.
Expectation Gap Monitor
Nortilus vs consensus. Q1 2026
| Ticker | Consensus | Nortilus | Actual |
|---|---|---|---|
INSW Q1 2026 | $2.14 | $3.57 | $3.90 81% closer |
STNG Q1 2026 | $2.45 | $3.27 | $3.02 56% closer |
DHT Q1 2026 | $0.52 | $0.64 | $0.64 100% closer |
ASC Q1 2026 | $0.45 | $0.64 | $0.58 54% closer |
GNK Q1 2026 | $0.07 | $0.13 | $0.26 32% closer |
Recent earnings where model divergence proved useful
Built from the
Ground Up
Shipping and offshore equities are balance-sheet-heavy, rate-sensitive, and cyclical. Mispricing tends to be visible well before the Street catches up.
We model company economics from the hull up. Vessel values, contract coverage, rate exposure, leverage, opex, and public filings. This feeds a workflow for earnings, NAV, cycle timing, and relative value.
63% of our EPS estimates beat consensus
r = 0.984
Fleet & Asset Values
Vessel count, capacity, and asset valuations by company. Linked to current market values, updated quarterly.
Charter Contracts & TC Rates
Active time-charter coverage, contract durations, and TC rate inputs. This is where revenue accuracy is won or lost.
Rate Exposure
Spot vs. contract mix, routing, and freight rate sensitivity. Tied to live market data.
Cost Structures
Opex, G&A, interest expense, and fleet-level overhead. Modeled from filings and management guidance.
Estimate vs actual (500 most recent events)
Platform Preview
Models, rates, assets, and research in one workflow.

Working toward becoming the leading data provider for investors in shipping and offshore.
Rate curves, vessel values, earnings revisions, and company-level research. Organized for investors comparing risk, upside, and timing across maritime sectors.
Expectation Tracking
How Street estimates evolve week by week. Where our forecasts diverge before earnings. Where the market may be underpricing revisions.
Rate & Charter Data
TC rates, spot rates, and period charter trends across tanker, dry bulk, container, LPG, and offshore. Tied back to company exposure.
Vessel Asset Values
Vessel valuations by type, size, and age. Built from Nortilus’ own models with strong historical accuracy versus enterprise providers.
Commodity & Macro Data
Macro and commodity context for shipping and offshore valuation and cycle work.
Company Research
Earnings previews, model updates, sector notes, and cycle analysis. Focused on what changes the investment case.
Broker Data
Rate fixtures and independent asset valuations from a leading industry broker, integrated into the platform.
Signals From Forecast Divergence
When our earnings work materially differs from consensus, that divergence becomes a testable signal. The model converts it into a disciplined long/short framework around reporting dates.
Total Return
+662%
+84.8% CAGR
Win Rate
65.2%
+2.0% avg/trade
Sharpe
2.37
Sortino 1.31
Trades
233
since Feb 2023
Historical Return. Since Feb 2023
Past performance is not indicative of future results.
Conviction Portfolio
Live since January 2026 · Equal weight · Long-only
Long-only shipping and offshore names selected from our model work. Positions are driven by fundamentals, valuation, rate exposure, and cycle setup.
Total Return
+31.1%
since Jan 2026
Sharpe
1.12
Sortino 1.25
Active Positions
9
Historical Return. Since January 2026
Past performance is not indicative of future results.
Allocate Through the Cycle
with Better Models
Proprietary earnings models, rate and asset data, trading signals, and research. Built for investors allocating capital to shipping and offshore.


