Time For a New North American Rail Strategy
November 28, 2017
Time For a New North American Rail Strategy November 28, 2017 - - PowerPoint PPT Presentation
Time For a New North American Rail Strategy November 28, 2017 Transp sportation a and Logist stics s Adviso sors, s, LLC Disclaimer Statement This report has been prepared by Transportation and Logistics Advisors (T&LA) for Stifel
November 28, 2017
Transp sportation and L Logist stics A s Adviso sors, s, L LLC
This report has been prepared by Transportation and Logistics Advisors (T&LA) for Stifel Capital Markets (Stifel). The report is based upon information obtained from sources deemed to be reliable. All findings, conclusions, and recommendations are based upon the information made available to us. Market analyses and projections represent T&LA’s judgment, based upon data sources cited, and are subject to the validity of the assumptions noted herein. For purposes of the analyses presented in this report, T&LA has relied upon, and considered accurate and complete, data obtained from the sources cited, but has not independently verified the accuracy and completeness that data. No representation
recipients will conduct their own independent analysis. All estimates and projections contained in this report are based on data obtained from the sources cited and involve significant elements of subjective judgment and analysis, which may or may not be correct. Stifel has agreed that any report prepared by T&LA and any information, findings, conclusions or recommendations provided by T&LA or any of its representatives to Stifel in connection with its work are for the exclusive use of Stifel and that no third party may rely on our report or our work. The delivery of this and any report in connection therewith is not intended to confer rights to any other person or provide any other person (including affiliates, partners, advisors and of such person) with any direct or indirect benefits or permit any other person to be regarded as a third party beneficiary.
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Sources: ACT Publications, Morgan Stanley; BLS; AAR 2014 presentation to the Transportation Research Board; TandLA analysis
Real Change in Rail and Truck Rates (1990 - 2004)
– Rail rates decreased over 30% – Truck rates decreased less than 10%
Truck Rates Rail Rates
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1.00 1.50 2.00
1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 Revenue Net Income Ton Miles
Sources: AAR Annual Analysis of Class I Railroads; TandLA analysis and estimates
2.4% 2.7% 3.5% CAGR
Annual Nominal GDP Growth: 5.3%
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– Closed price gap with truck and barge
– Cut overhead – Changed train operations
– Added more productive equipment
– Added capacity in growing areas – Levered Infastructure to facilitate smoother operations and lower operating costs
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Nominal US Railroad Revenue Per Ton-Mile (2004 - 2014)
$- $0.005 $0.010 $0.015 $0.020 $0.025 $0.030 $0.035 $0.040 $0.045
Sources: AAR Annual Analysis of Class I Railroads; AAR 2014 Overview of America’s Freight Railroads; TandLA analysis and estimates
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US Railroad Net Income (2004 - 2014)
$- $3 $6 $9 $12 $15
Sources: AAR Annual Analysis of Class I Railroads; TandLA analysis and estimates
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Sources: Fidelity.com; TandLA analysis and estimates
2 3 4 5 6 7 8 CSX NS UP CNI KSU CP DJI
Indexed Stock Price Change (2005 - 2014)
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815 787 737 584 649 678 712 725 759 740 725 631 623 643 570 589 588 517 496 509 453 362
300 450 600 750 900 1,050 1,200 1,350 1,500
2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016*
All Other Commodities Coal
*2016 is annualized based on actual January – November volume **All comparisons through first 12 weeks Sources: St. Louis Federal Reserve; Bureau of Transportation Statistics; AAR Commodity database; AAR weekly rail volume; TandLA analysis and estimates
Monthly Rail Carloads (excluding Intermodal) (thousands)
flat from 2000 to 2008
2009 to 2014
− Total up 10% − Non-coal up 30%
peak was well below 2006 levels
− Total down 11% − Non-coal down 7%
− From 2014 to 2016 the decline hastened
− Total down 14% − Coal down 29% − Non-coal down 4.5%
recovery” is leaving volumes down vs. 2015. 2017 YTD:
− Up 5.5% from 2016 − Down 9% from 2015
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*Excludes intermodal Sources: St. Louis Federal Reserve; Bureau of Transportation Statistics; AAR Commodity database; AAR weekly rail volume; TandLA analysis and estimates
70 80 90 100 110 120 130
Rail Carloads* Truck Tonnage Water Tonnage Rail Carload* Ex. Coal
– Driven by growth in coal – Non-coal was in slow decline
– Decline is more than coal driven Indexed Volume Growth by Mode 2004 Indexed to 100
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*Excluding intermodal Sources: U.S. BEA; AAR Analysis of Class I Data 1986– 2015; IANA data; TandLA analysis and estimates
0.80 1.00 1.20 1.40 1.60 1.80 2.00 2.20 1990 1995 2000 2005 2010 2015
Carloads Ex IML Industrial Production + Imports Industrial Production
2.7% (0.2%) 25-Yr CAGRs 1.6%
– 1990 tons/carload*: 81 – 2000 tons/carload*: 87 – 2015 tons/carload*: 88
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Sources: St. Louis Federal Reserve; Bureau of Transportation Statistics; AAR Commodity database; AAR weekly rail volume; TandLA analysis and estimates
80 90 100 110 120 130 Truck Tonnage Intermodal
Indexed Volume Growth by Mode 2000 Indexed to 100
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15 0.015 0.017 0.019 0.021 0.023 0.025 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015
Sources: AAR Green Book data 1990– 2015; TandLA analysis and estimates
Operating Cost (Less Fuel Expense) per RTM By Year in cents
– From 1992 to 2001 decreased 2.6% per year – From 2001 to 2006 increased 1.3% per year – From 2006 to 2014 increased 2.7% per year – 2015 increased 4.6%
+1.3% CAGR +2.7% CAGR +4.6% CAGR
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$0 $1 $2 $3 $4 $5 $6 UP CSX NS BNSF KSU
2014 2015 2016 Company Net Income (billions)
Sources: Company 2017 10-K SEC filings; TandLA analysis
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Sources: Fidelity.com; TandLA analysis
0.6 0.8 1.0 1.2 1.4 1.6 1.8 CSX NS UP CNI KSU CP DJI
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Sources: St. Louis Federal Reserve; Bureau of Transportation Statistics; AAR Commodity database; AAR weekly rail volume; TandLA analysis and estimates
100 200 300 400 500 600 700 800 900
Non-Coal Coal 2006 2016
Average Monthly Carloads (000s) Excluding Intermodal
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20 0% 10% 20% 30% 40% 50% 60% 70% 80% Truck 2000 to 2016 Industrial Production + Imports 2000 to 2015
*Truck is based on tonnage; Industrial Production + Imports based on inflation adjusted dollars Sources: U.S. BEA; AAR Green Book data 1986– 2015; IANA data; St. Louis Federal Reserve; Bureau of Transportation Statistics; AAR Commodity database; AAR weekly rail volume; TandLA analysis and estimates
Increase to Rail Carload Volume At Growth Rates of Other Indices
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21 0% 20% 40% 60% 80% 100% 120% 140% 160% Industrial Production + Imports 1990 to 2015 Industrial Production 1990 to 2015
*Based on inflation-adjusted dollars Sources: U.S. BEA; AAR Green Book data 1986– 2015; IANA data; St. Louis Federal Reserve; Bureau of Transportation Statistics; AAR Commodity database; AAR weekly rail volume; TandLA analysis and estimates
– Economy grew 200%, 83%
– Rail carload volume declined 4%
Increase to Rail Carload Volume At Growth Rates of Other Indices
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70 80 90 100 110 120 130 140
2009 2010 2011 2012 2013 2014 2015 2016 Indexed 2009=100 Rail Carloads**** Truck Tonnage
Indexed Volume Growth by Mode 2009 Indexed to 100
80 100 120 140 160 180 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 Indexed 2000=100 Rail Costs* All Freight Rates** Rail Rates***
Rail Costs vs. Transportation Freight Rates Indexed to 2000 Levels
*Rail expenses per revenue ton mile; includes intermodal **Across freight modes, but most is truckload ***Industry revenue per revenue ton mile ****Excludes intermodal Sources: AAR Annual Analysis of Class 1 Railroads; St. Louis Federal Reserve; Bureau of Transportation Statistics; AAR Commodity database; AAR weekly rail volume; CASS Freight Index; TandLA analysis and estimates
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– Retirements – age profile is weighted towards older drivers
– Insurance age requirements limiting bringing drivers in after high school, leading them into other professions – Pay and lifestyle gap versus manufacturing and construction
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markets
– Current processes and tools were built for a different era and objective, are they aligned for managing share? – Reassess lost business, are we incrementally better off getting it back? Does it even still exist to get back?
– Are they structured so that we do not have to lower price on existing business to gain incremental business?
now worth pursuing?
– Do we understand the incremental impacts of adding volume from existing customers
new ones have emerged.
– What don’t we have that the existing services can compete for? – Shift from “rust-belt” to south? – Shift to imports?
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– Compare rail sales as a percent of revenue or on any other metric versus other transport modes – the gap is in the 10X+ range
– Only intermodal has channel partners – Nearly every other mode uses partners for some or all of the go-to-market processes
– Issue is not to have or not have an alternative channel, but how to structure the relationship
– Fit in supply chain planning software – Fit in tactical bidding software for developing annual plan – Fit with TMS systems for load execution – Fit with service recovery/load covering processes – VAR’s, standardize modules, add as a technology update?
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Managing Partner
1910 First Street Suite 300 Highland Park, IL 60035
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