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

EFTA01371096

← Prev Next →
Loading document…

31 October 2017 Railroads Canadian Rails Profit and pricing discussion All Class I railroads are solidly profitable in North America, with the companies under our coverage universe (CP, CNI, CSX, NSC. UNP) reporting an average ebit margin of 36.5% in 2016. This makes sense to use given the consolidated nature of the Class I industry, price discipline, and capital intensity needed to maintain an efficient railroad. There is some variability in the performance, however, with the Canadian rails achieving superior profitability relative to the U.S. rails. 'Figure 24: Class I rail operating ratios (opex as a of revenue) 2010-2019E 85% 80% 75% 70% 65% 60% 55% 2010 2011 2012 2018 2014 2015 2016 2017E 2018E 2019E -4-05X -4k-NSC -41b-UNP — Drturfalre ant, arlipii.101WIS One driver of profit variation is yield differentials (i.e. revenue per unit or carload). For example, if we look at CNI, which has the lowest operating ratio (OR), 34% of its total traffic in 2016 came from its highest yielding end markets, compared to just 30% for CSX, which had the highest operating ratio of the Class l's in 2016. As you can see below, the companies with a larger percentage of revenue coming from higher yielding carloads typically see a lower operating ratio. While this does not entirely account for margin differentials (carloads are not created equal from an incremental margin standpoint and average length of haul needs and # of touch points need to be considered, which we discuss later), higher yields do translate to higher fixed cost leverage. Hunter Harrison's Precision Railroading model has helped CP and CN1 achieve beau in-class operating ratios. Deutsche Bank Securities Inc Page 15 CONFIDENTIAL - PURSUANT TO FED. R. CRIM. P. 6(e) DB-SDNY-0064285 CONFIDENTIAL SDNY_GM_00210469 EFTA01371096

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