Restaurant Industry Investment Analysis

What this research found

A long thesis on the restaurant sector was tested and then narrowed into a pair trade: long Toast, the cloud-native restaurant point-of-sale vendor, against short NCR Voyix and other legacy incumbents. Federal Reserve data on food-service sales and employment, three years of share prices and five quarters of financials for four peers were used to check whether Toast's share gains justify its valuation. The resulting 32-page memo recommends buying Toast at $28.89 with a $38 to $42 target and shorting NCR Voyix from $9.16 toward $6 to $7, while flagging that Toast carries an 89% valuation premium to its peers.

• The macro backdrop is supportive but no longer booming. Food-service retail sales reached $89,542M in December 2025, up 3.9% year over year and 61.5% above the February 2020 pre-COVID level, with sector employment at 12,514,000 workers, up 1.2%.
• Toast's share of peer-group revenue rose from 17.8% to 21.2% across five quarters, a 3.4 percentage point gain, while NCR Voyix slipped from 9.7% to 8.9%. Revenue grew 25.1% year over year at Toast against 23.2% at PAR Technology, 0.9% at Fiserv and -3.4% at NCR Voyix.
• Operating leverage is emerging: Toast's operating margin widened from 2.6% in the third quarter of 2024 to 5.1% a year later. Its Rule of 40 score of 30.3 is the highest in the peer group, though none of the four clears the 40 threshold.
• The pair trade would have worked over the past three years. From February 2023 to February 2026 Toast returned 24.2% while NCR Voyix lost 46.0%, PAR 36.7% and Fiserv 44.9%, a 70.1 point spread over NCR Voyix, and return correlations of 0.27 to 0.46 keep the two legs largely independent.
• Valuation is the weak point. Toast trades at 2.85 times enterprise value to trailing revenue against a peer median of 1.51 times, an 89% premium, and at 11.11 times gross profit against 4.52 times, a 146% premium.
• A 20% operating margin is arithmetically out of reach at Toast's current 25.7% gross margin: operating expenses would have to fall from roughly 21.5% of revenue to 5.7%, a 73% reduction, and none of the 25 modelled scenarios got there. Gross margin expansion through the payments attach rate is the load-bearing assumption.

How it was done

Two Federal Reserve Economic Data series covering monthly retail sales and employment for food services and drinking places established the industry backdrop through December 2025. Three years of daily prices — 3,003 observations from February 2023 to February 2026 — and 24 quarterly statements were pulled for Toast, NCR Voyix, PAR Technology and Fiserv, then turned into gross and operating margin series, Rule of 40 scores, peer-group revenue share, indexed growth curves, cumulative returns and pairwise return correlations. A relative valuation table on a trailing-twelve-month basis was paired with a 25-scenario sensitivity grid varying revenue growth from 15% to 35% and operating expense growth from 5% to 25% over three years while holding gross margin flat. The work was written up as a 32-page memo with 21 citations.

Data sources

• FRED series MRTSSM7225USN — retail sales, food services and drinking places, monthly through December 2025
• FRED series CES7072200001 — all employees, food services and drinking places, monthly
• Daily share prices for Toast, NCR Voyix, PAR Technology and Fiserv — 3,003 observations, February 2023 to February 2026
• Quarterly financial statements — 24 company-quarters across the four peers
• Industry research from Grand View Research, Technavio and Business Research Insights

Figures from this analysis

Outputs produced

• 01_macro_analysis.py

  Python script for fetching and analyzing FRED macro-economic data

• restaurant_macro_data.csv

  Processed FRED data with retail sales, employment, and YoY growth rates

• 02_financial_data_extraction.py

  Python script for fetching financial data from yfinance for competitive set

• market_data_daily.csv

  3-year daily stock price data for TOST, SQ, VYX, PAR, FISV (3,003 records)

• financial_data_quarterly.csv

  Quarterly financial statements (Revenue, Gross Profit, Operating Income, Net Income, Cash, Debt)

• company_summary.csv

  Current valuation metrics (Market Cap, P/E, EV/Revenue, margins, growth rates)

• 03_unit_economics.py

  Python script for calculating financial metrics and Rule of 40 analysis

• financial_metrics_calculated.csv

  Computed margin metrics (Gross Margin %, Operating Margin %, Revenue Growth YoY %, Rule of 40)