home

epstein-data
Research ▼
🔍 SearchFull-text document search 🤖 Ask AIAI research assistant 🔎 Evidence MapFBI serial resolution 📷 Reverse Image SearchCLIP + face across 614K images 🧑 Find Face BETASearch 29K faces by photo 💻 Run Your OwnDownload & search locally
Explore ▼
📚 Full Text Corpus1.39M docs, 2.77M pages 🌎 Global Heatmap145 countries mentioned 📈 Coverage MapWhat's here 🌌 AtlasSemantic map · 1.29M docs ⚖ Cases53 federal & state cases · per-case briefings 🎤 DepositionsTranscribed audio & video 💬 Hear from the SurvivorsSurvivors in their own words 📖 Cover to Cover-Up24-hour public reading, synced to the video ✉ Wolff–Epstein Emails2,009 messages · 2009–2019
📷 Images92K analyzed photographs 🔍 Multi-DB SearchSearch all databases individually 🗃 All Databases14 searchable databases
Reports
News ▼
📰 NewsCoverage & reporting ⚖ Justice MonitorArrests, charges, lawsuits, firings
Source ▼
🏛 DOJ ProductionOfficial EFTA disclosures 📜 EFTA Law TextPublic Law 119-38 📁 Source Data (GitHub)Open source databases
🌐 Community ResourcesCurated external projects ✉ ContactGeneral · privacy · DMCA · press
❤️ Donate 🎧 Podcast

Research

🔍 Search Documents 🤖 Ask AI 🔎 Evidence Map 📷 Reverse Image Search 🧑 Find Face BETA 💻 Run Your Own Investigator

Explore

📚 Full Text Corpus 🌎 Global Heatmap 📈 Coverage Map 🌌 Atlas ⚖ Cases 🎤 Depositions 💬 Hear from the Survivors 📖 Cover to Cover-Up ✉ Wolff–Epstein Emails 📷 Images 🔍 Multi-DB Search 🗃 All Databases

Reports

Browse All Reports 📰 News ⚖ Justice Monitor

Source

🏛 DOJ Production 📜 EFTA Law 📁 Source Data (GitHub) 🌐 Community Resources ✉ Contact
🎧 Podcast & Newsletter ❤️ Donate Privacy Policy

EFTA01371089

← Prev Next →
Loading document…

31 October 2017 Railroads Canadian Rails Executive Summary We are expanding our coverage of Transportation companies with initiation of coverage of the Canadian railroad industry. We are positive on Canadian Pacific (CP. Buy) and cautious on Canadian National (CNI, Sell), as we see overall market share and earnings trajectory driving a reversal in recent relative value trends. All told we forecast CP to grow EPS at double the rate of CNI (+30% for CP vs. + 15% for CNI cumulatively through 2019), which together with capex and free cash trends should drive re-rating at CP and de-rating for CNI. In this report we present a primer on the Canadian rail industry, with deep dives on Canadian Pacific and Canadian National. We do not believe current valuation appropriately reflects the relative earnings trajectory and shifting market dynamics within the Canadian rail industry. We believe CP is well positioned to regain market share from CNI as it leverages its lowered cost base, improved service levels, and recent capacity investments to retake market share. In our view, these efforts will help CP achieve industry- leading volume and earnings growth over the next several years (ex-CSX). A lower cost base and better service levels should help CP regain share From 2012-2016, CM increased volumes (revenue ton-miles [RTM's)) at more than double the rate of CP (+3.0% CAGR vs. +1.2% CAGR for CP). While mix likely played a factor, we believe the key driver behind this was CNI's ability to win market share as the lower-cost carrier with superior service. Further, this came at a transitional time for CP as the focus was largely on the implementation of Precision Railroading which likely pushed freight onto other transportation modes as well. As you can see below, CNI had nearly 18% points of cost advantage over CP (as measured by operating ratio) before CP began implementing Precision Railroading in 2012. This advantage has largely been erased, and we expec

Suggest a category
Misclassified? Pick a better fit.
Community Notes
▸ People Mentioned
▸ Interest Level
Routine Notable Significant
▸ Dates Mentioned
▸ Related Topics
▸ Places & Organizations
▸ Transcription Correction
Related documents
Source Data Investigation Reports DOJ EFTA CC BY-NC-SA 4.0 Contact
Independent research project. Not affiliated with the U.S. Department of Justice, FBI, any government agency, or Anthropic. All analytical text on this site is AI-generated (Claude, Anthropic) and iteratively fact-checked against source documents, but may contain errors. Verify all claims against linked EFTA sources before citing.
Powered by Datasette  ·  ❤️ Buy me a coffee

You are leaving epstein-data.com

You are being redirected to an external website not operated by this project. We are not responsible for the content or privacy practices of external sites.

Powered by Datasette