Aerovironment, Inc. · NASDAQ:AVAV

Aerovironment — Investor Presentation (September 2022)

32 slides from Aerovironment's investor presentation, September 2022

  1. Slide 1: AeroVironment, Inc.

    AeroVironment, Inc. Scott Newbern, CTO Jonah Teeter-Balin, Sr Dir. Corporate Development & Investor Relations SEP T, 2022 210913 052620 Slide 1 2020 AeroVironment, Inc. – Proprietary Information © 2022

  2. Slide 2: Safe Harbor Statement

    Safe Harbor Statement Certain statements in this presentation may constitute "forward-looking statements" as that term is defined in the Private Securities Litigation Reform Act of 1995. Forward-looking statements include, without limitation, any statement that may predict, forecast, indicate o r im

  3. Slide 3: AeroVironment at-a-glance

    AeroVironment at-a-glance Pureplay unmanned systems company providing air and ground vehicle solutions for defense and commercial markets Founded in 1971 Global footprint HQ in Arlington, VA with sales to ~1,300 employees more than 50 allied nations $2B+ enterprise value 210913 052620 Slide 3 2020 A

  4. Slide 4: Well positioned product portfolio

    Well positioned product portfolio SUAS Small Unmanned Aircraft Systems MUAS Medium Unmanned Aircraft Systems TMS Tactical Missile Systems HAPS High altitude Pseudo Satellites UGV Unmanned Ground Vehicles MW MacCready Works Advanced Solutions The dominant global A market leading Category innovator an

  5. Slide 5: Full Fiscal Year Results – FY2022

    Full Fiscal Year Results – FY2022 Metric Full Fiscal Year 2022 Revenue by Reporting Segment in Millions 200 Revenue $446M 180 MUAS OTHER* 160 Gross profit $165M 140 TMS SUAS 120 HAPS Adj. EBITDA 1 $62M 100 80 Non-GAAP EPS 2 (diluted) $1.25 60 40 Funded Backlog $210.8M 20 $178.2M $93.2M $76.4M $43.3M

  6. Slide 6: Guidance: Fiscal 2023 Outlook

    Guidance: Fiscal 2023 Outlook AeroVironment is Poised for Organic Double-digit Growth in FY23 As of 4/30/2022 Fiscal Year 2022 Results FY23 Guidance Expected % Change (to midpoint) Revenue $446 million $490 million - $520 million 13% Net Income/(Loss) ($4 million) $11 million – $18 million --- Adjus

  7. Slide 7: Introducing Scott Newbern

    Introducing Scott Newbern o Joined Aerovironment in 1997 • CTO since 2018 o Held multiple leadership positions within AV • VP and GM of SUAS business • Founder of MacCready Works Advanced Programs Segment • Product development and manufacturing o Established industry veteran • BoD for Association fo

  8. Slide 8: How Artificial Intelligence is Reshaping Drone Command and Control

    HOW ARTIFICIAL INTELLIGENCE IS Reshaping Drone Command and Control 210913 052620 Slide 8 2020 AeroVironment, Inc. – Proprietary Information © 2022

  9. Slide 9: Portfolio of Intelligent Multi-Domain Robotic Systems

    Portfolio of Intelligent Multi-Domain Robotic Systems HIGH-ALTITUDE PSEUDO-SATELLITES Based on 40 years of solar powered aircraft development experience, AeroVironment’s HAPS delivers Stratospheric Multi-Domain Mission Capabilities, flying above 65K for up to six months – bending the cost curve vers

  10. Slide 10: Autonomy vs. Artificial Intelligence vs. Machine Learning

    Autonomy vs. Artificial Intelligence vs. Machine Learning 1308 → 1955 Artificial Intelligence Any machine or program that performs a complex tasks that usually require a human-like capability: e.g. visual perception, speech recognition, decision-making 09022020 Slide 10 © 2022 AeroVironment, Inc. –

  11. Slide 11: Autonomy vs. Artificial Intelligence vs. Machine Learning

    Autonomy vs. Artificial Intelligence vs. Machine Learning Perception Sensor Processing to obtain information e.g. computer vision, automatic target recognition, alternative precision navigation Artificial Intelligence Any machine or program that performs a complex tasks that usually require a human-

  12. Slide 12: Autonomy vs. Artificial Intelligence vs. Machine Learning

    Autonomy vs. Artificial Intelligence vs. Machine Learning Artificial Intelligence Any machine or program that performs a complex tasks that usually require a human-like capability: e.g. visual perception, speech recognition, decision-making Machine learning Automatic extraction of statistical patter

  13. Slide 13: Autonomy vs. Artificial Intelligence vs. Machine Learning

    Autonomy vs. Artificial Intelligence vs. Machine Learning Perception Sensor Processing to obtain information e.g. computer vision, automatic target recognition, alternative precision navigation Artificial Intelligence Any machine or program that performs a complex Autonomy Decision making that resul

  14. Slide 14: What is Autonomy and why do we need it?

    What is Autonomy and why do we need it? Autonomy: freedom from external control or influence; independence In the context of unmanned/robotic systems this means: • Safe: The system can operate safely without constant oversight and stay within its own limitations • Cognitive: The system understands i

  15. Slide 15: Progression of Autonomy Levels

    Progression of Autonomy Levels MISSION MISSION COMPLEXITY COMPLEXITY ENVIRONMENTAL COMPLEXITY INDEPENDENCE INDEPENDENCE ENVIRONMENTAL COMPLEXITY 0 1 2 3 4 5 09022020 Slide 15 © 2022 AeroVironment, Inc. – Proprietary Information

  16. Slide 16: Progression of Autonomy Levels

    Progression of Autonomy Levels MISSION MISSION COMPLEXITY COMPLEXITY ENVIRONMENTAL COMPLEXITY GPSINDEPENDENCE Auto-Navigation INDEPENDENCE ENVIRONMENTAL COMPLEXITY 0 1 2 3 4 5 09022020 Slide 16 © 2022 AeroVironment, Inc. – Proprietary Information

  17. Slide 17: Progression of Autonomy Levels

    Progression of Autonomy Levels MISSION MISSION COMPLEXITY COMPLEXITY ENVIRONMENTAL Quantix Recon COMPLEXITY INDEPENDENCE INDEPENDENCE Auto-Mapping ENVIRONMENTAL COMPLEXITY 0 1 2 3 4 5 09022020 Slide 17 © 2022 AeroVironment, Inc. – Proprietary Information

  18. Slide 18: Progression of Autonomy Levels

    Progression of Autonomy Levels MISSION MISSION COMPLEXITY COMPLEXITY ENVIRONMENTAL COMPLEXITY INDEPENDENCE INDEPENDENCE Switchblade Vision-based target track ENVIRONMENTAL COMPLEXITY 0 1 2 3 4 5 09022020 Slide 18 © 2022 AeroVironment, Inc. – Proprietary Information

  19. Slide 19: Progression of Autonomy Levels

    Progression of Autonomy Levels MISSION MISSION COMPLEXITY COMPLEXITY ENVIRONMENTAL COMPLEXITY INDEPENDENCE INDEPENDENCE Puma 3 AE with Vision Navigation System ENVIRONMENTAL COMPLEXITY 0 1 2 3 4 5 09022020 Slide 19 © 2022 AeroVironment, Inc. – Proprietary Information

  20. Slide 20: Autonomy is key enabler for robotic mission solutions

    Autonomy is key enabler for robotic mission solutions o Advanced multi-domain mission operations • Cross-domain • All-domain • Integrated operations across forces o Contested environments • Radio frequency spectrum challenges • Assured precision navigation and timing • Collaborative mission capabili

  21. Slide 21: Find and follow target, no GPS (video)

    Find and follow target, no GPS (video) 09022020 Slide 21 © 2022 AeroVironment, Inc. – Proprietary Information

  22. Slide 22: 3D mapping, no coms, no GPS (video)

    3D mapping, no coms, no GPS (video) 09022020 Slide 22 © 2022 AeroVironment, Inc. – Proprietary Information

  23. Slide 23: Slide 23 © 2022 AeroVironment, Inc. – Proprietary Information

    09022020 Slide 23 © 2022 AeroVironment, Inc. – Proprietary Information

  24. Slide 24: Collaborative auto track and pursuit (video)

    Collaborative auto track and pursuit (video) 09022020 Slide 24 © 2022 AeroVironment, Inc. – Proprietary Information

  25. Slide 25: Multiple automatic target recognition, classification and tracking (video)

    Multiple automatic target recognition, classification and tracking (video) 09022020 Slide 25 © 2022 AeroVironment, Inc. – Proprietary Information

  26. Slide 26: IMX22

    IMX22 09022020 Slide 26 © 2022 AeroVironment, Inc. – Proprietary Information

  27. Slide 27: Moving platform vision-based autonomous recovery (video)

    Moving platform vision-based autonomous recovery (video) 09022020 Slide 27 © 2022 AeroVironment, Inc. – Proprietary Information

  28. Slide 28: Slide 28 © 2022 AeroVironment, Inc. – Proprietary Information

    09022020 Slide 28 © 2022 AeroVironment, Inc. – Proprietary Information

  29. Slide 29: Appendix A – GAAP to Non-GAAP Reconciliation of Adjusted Gross Margin

    APPENDIX A – GAAP To NON-GAAP Reconciliation of Adjusted Gross Margin 210913 052620 Slide 29 2020 AeroVironment, Inc. – Proprietary Information © 2022

  30. Slide 30: Appendix B – GAAP to Non-GAAP Reconciliation of Adjusted EBITDA

    APPENDIX B – GAAP to NON-GAAP Reconciliation of Adjusted EBITDA 210913 052620 Slide 30 2020 AeroVironment, Inc. – Proprietary Information © 2022

  31. Slide 31: Appendix C – GAAP to Non-GAAP EPS Reconciliation Table

    APPENDIX C – GAAP to Non-GAAP EPS Reconciliation Table 210913 052620 Slide 31 2020 AeroVironment, Inc. – Proprietary Information © 2022

  32. Slide 32: Appendix D – Fiscal Year 2023 Non-GAAP Diluted EPS Expectations

    APPENDIX D – Fiscal Year 2023 Non-GAAP Diluted Earnings Per Share Expectations 210913 052620 Slide 32 2020 AeroVironment, Inc. – Proprietary Information © 2022

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