FIBER-LINE™ High Performance Synthetic Fibers PRODUCT SELECTION GUIDE FIBER-LINE™ HIGH PERFORMANCE SYNTHETIC FIBERS Kevlar® Para-Aramid Nomex® Meta-Aramid Vectran® LCP Zylon® PBO Carbon Fiber UHMWPE PET Polyester Fiberglass Novoloid Technora® Filament Yarn TECHNICAL PROPERTIES Standard Modulus High Modulus Standard Modulus Standard Modulus High Modulus Standard Modulus High Modulus Standard Modulus Standard Modulus High Modulus High Tenacity Low Shrink E-Glass S-Glass Standard Modulus Standard Modulus Breaking Tenacity (g/d) 23.0 23.6 5.0 23.0 30.0 42.0 42.0 23.0 28.0 38 9.3 8.4 6.0 - 7.3 6.7 - 9.4 1.5 28.0 Specific Gravity (Ratio) 1.44 1.44 1.38 1.40 1.40 1.54 1.56 1.80 0.97 0.97 1.38 1.38 2.58 2.48 1.27 1.39 Elongation at Break (%) 3.5 2.5 30.0 3.8 2.8 3.5 2.5 1.5 3.5 3.1 14.6 19.5 3.5 5.5 30.0 - 40.0 4.6 Tensile Modulus (g/d) 555 885 125 600 830 1200 1800 1480 850 1250 120 70 200–275 140–170 2.5–5.0 590 Equilibrium Moisture Regain at 55% RH (%) 5.0 5.0 4.5

UNMATCHED TECHNICAL EXPERTISE A full staff of chemists is devoted to formulating plastisol in order to overcome our customers’ biggest challenges in the field.

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Page 93 2011 Highlights • Versus 2010, revenue growth of 9% drives 23% increase in adjusted operating income • Adjusted EPS expands 29% to all-time high of $1.02 Net Sales Adjusted Operating $1.02 Adjusted EPS $2,622 $2,643 $2,739 $2,061 $2,622 $2,864 Net Sales $88 $87 $72 $59 $147 $181 Adjusted Operating Income $0.12 $0.27 $0.21 $0.13 $0.79 $1.02 ($ millions) ($ millions) Page 94 2011 Highlights • Each platform contributed to our year over year operating income growth • Record OI achieved in Specialty and POD • Ten quarters of double-digit adjusted EPS expansion POD PP&SSpecialty Platform ROS%* 0.6% 1.5% 3.2% 4.3% 5.3% 8.4% 8.0% 2.9% 2.6% 3.0% 3.5% 4.0% 4.6% 5.6% 6.7% 5.5% 6.1% 3.1% 5.0% 7.0% 7.2% $20 $19 $22 $28 $25 $42 $56 O p e ra ti n g I n co m e POD $76 $64 $66 $31 $33 $54 $62 O p e ra ti n g In co m e PP&S $5 $13 $31 $46 $46 $87 $89 O p e ra ti n g I n co m e Specialty Platform *ROS% is defined as adjusted operating income % of revenue ($ millions) Page 95 2011 Highlights • Continued portfolio repositioning � Sale of SunBelt equity investment � Acquisition of specialty companies ColorMatrix and Uniplen • World-class working capital of 9.6% maintained while improving on-time delivery to 94%improving on-time delivery to 94% 81% 87% 88% 95% 93% 92% 94% 2005 2006 2007 2008 2009 2010 2011 14.3% 16.2% 14.4% 18.9% 11.7% 9.6% 9.6% 2005 2006 2007 2008 2009 2010 2011 On-Time Delivery Working Capital % of Sales Page 96 First Quarter 2012 Highlights • Revenues increased 9% over Q1 2011 to a new quarterly record • Adjusted EPS increased 12% $0.26 $0.29 Q1 2011 Q1 2012 Adjusted EPS • Adjusted EPS increased 12% over prior year • All platforms delivered double-digit operating income growth Q1 2011 Q1 2012 $25.2 $14.7 $29.1 $17.8 $16.7 Specialty PP&S POD Q1 2011 Q1 2012 Adjusted Operating Income $14.3 ($ millions) Page 97 • Total Debt at 3/31/12 Less: Cash Net Debt • Available Liquidity $706 186 $520 $300 $360 $250 $300 $350 $400 $450 Debt Maturities As of March 31, 2012 ($ millions) Debt Maturities & Liquidity Summary – 3/31/12 • Available Liquidity Cash ABL Availability Total Liquidity • Net Debt / EBITDA* = 1.9x $186 156 $342 *Adjusted EBITDA TTM Pro forma for ColorMatrix $50 $300 $0 $50 $100 $150 $200 $250 2015 2017 2020 Page 98 • Repurchased 6 million shares in 2011 Share Share RepurchaseRepurchase • Introduced a quarterly dividend in Q1 2011 and increased in Q1 DividendsDividends • Expanding our sales, marketing, and technical capabilities is top Organic Organic GrowthGrowth • Targets that expand our: • Specialty offering • End market presence AcquisitionsAcquisitions Use of Cash Current Cash Balance = $186M Net Debt / EBITDA* = 1.9X • 7.9 million shares remain available for repurchase under the current authorization increased in Q1 2012 • Objective of maintaining and growing capabilities is top priority • Investing in operational and LSS initiatives • CAPEX • End market presence • Geographic footprint • Synergy opportunities • Adjacent material solutions *Adjusted EBITDA TTM Pro forma for ColorMatrix Page 99 Page 100

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Microsoft Word - May 16 2012 Investor Presentation NonGAAP Reconcliation.doc Schedule I Reconciliation of Non-GAAP Financial Measures (Unaudited) (Dollars in millions, except per share data) Below is a reconciliation of non-GAAP financial measures to the most directly comparable measures calculated and presented in accordance with GAAP.

FUNCTIONALITY TARGET APPLICATIONS BLOOD COLLECTION REAGENT CONTAINERS/ KITS PIPETTE/ LABWARE SELF-TESTING/ POCT INSTRUMENT/ ACCESSORIES Colorants for coding for lab automation/ identification Wide range of colors in various polymers, available in ready-to-use formulation or concentrate adapted to your process     Colors – low migration/ interference Ready-to-use formulation to avoid interference with analytical tests; extractable metal data    Colors – biologically evaluated Reduced risk of non compliance to current and proposed regulations such as IVDR     Color in PP, ABS, PC and high temperature polymers with UL listings Ready-to-use solutions/concentrates supporting Underwriters Laboratory requirements of electric enclosures   Antistatic for PP, ABS, PC/ABS Permanent/non-migrating ready-to-use formulation; fast decay time independent of % relative humidity   Clarifying PP Sorbitol-free, minimizing potential migration   Laser marking for UDI replacing ink printing/labels Activation of the polymer to laser energy give high contrast solvent-free, high speed identification     Laser welding for fast, reliable assembly of a range of polymers Custom concentrates and ready-to-use formulations for optically transparent and opaque colors while allowing laser transmission/absorption    Nucleation of semicrystalline polymers e.g.

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This creates a foundation of trust in the data outputs. If you are used to designing in metals, you might be surprised when a polymer’s technical data sheet does not translate into part performance you anticipated. Many metals can approximate linear elastic behavior, but polymer behavior is not so easily simplified to one modulus, making it more challenging to predict performance based on a data sheet.