Data analysis · 2021–2026

Hypercar Performance Analysis

Hypercar performance analysis by the data — every top-class manufacturer at Le Mans and Daytona 2024–2026 ranked by wins, podiums, pace and reliability.

14manufacturers
42races analyzed
Toyotamost wins (22)
2021–2026Le Mans & Daytona

The current Hypercar era splits cleanly along the data. Across six 24-hour races 2024–2026, three programs separate from the field — and they separate in different ways.

Porsche is the win machine. The 963 took three straight Rolex 24 wins at Daytona and finished 95% of its 24-hour entries — the highest volume of silverware and the most dependable record in the dataset. Ferrari owns Le Mans. The 499P won the 2024 and 2025 24 Hours outright, a WEC-only program with no Daytona campaign to dilute it. Toyota brings the pace. The GR010 set the fastest lap at Le Mans and finished every race it entered — raw speed that finally converted to the 2026 win.

Pace and results don’t always agree. Toyota and Cadillac frequently posted the quickest laps, yet Cadillac and BMW ran all six races without a win — the fastest of the nearly-theres. That gap between one-lap speed and a 24-hour result is the single most useful thing this data exposes.

Two theatres, different casts. Le Mans (WEC) and Daytona (IMSA) share only Porsche and Cadillac among the front-runners; Ferrari and Toyota race only the former, Acura only the latter. The leaderboard below is track-neutral; the pace rankings keep the circuits apart. For the direct duels, follow the head-to-head comparisons.

Manufacturer leaderboard

Every top-class manufacturer across all 42 races. Wins, podium finishes, how often the brand set the fastest pace, and its 24-hour finish rate — the track-neutral measures of a program's strength.

Hypercar performance comparison
#ManufacturerCarRacesWinsPodiumsFastestFinish
1ToyotaToyotaToyota GR010 Hybrid3922431894%
2FerrariFerrariFerrari 499P27724891%
3PorschePorschePorsche 96326721391%
4AlpineAlpineAlpine A48032315396%
5BMWBMWBMW M Hybrid V82327278%
6CadillacCadillacCadillac V-Series.R2916585%
7GlickenhausGlickenhaus 007 LMH1202281%
8PeugeotPeugeotPeugeot 9X83004187%
9AcuraAcuraAcura ARX-063020100%
10GenesisGenesis GMR-001400088%
11Aston MartinAston MartinAston Martin Valkyrie1300080%
12LamborghiniLamborghiniLamborghini SC63800078%
13Isotta FraschiniIsotta Fraschini Tipo 6 LMH-C500060%
14VanwallVanwall Vandervell 680700057%

Pace by circuit

Best fastest-lap speed reached by each manufacturer (km/h). Pace depends on the circuit, so every track is ranked on its own — never mixed.

Circuit de la Sarthe — km/h

Toyota
239.2
Cadillac
238.9
BMW
238.6
Ferrari
237.9
Alpine
237.8
Porsche
237.1
Genesis
236.2
Peugeot
235.5
Vanwall
230.7

Circuit de Spa-Francorchamps — km/h

Toyota
206.1
Ferrari
203.7
Porsche
203.2
Peugeot
203.1
Alpine
203
Aston Martin
202.8
BMW
202.7
Genesis
202.5
Cadillac
202
Glickenhaus
201
Vanwall
195.5
Isotta Fraschini
194.7

Autodromo Enzo e Dino Ferrari — km/h

Ferrari
192.5
Alpine
191.6
Toyota
191.1
Aston Martin
191.1
Cadillac
191
Porsche
190.9
BMW
190.9
Peugeot
190.4
Lamborghini
189.9
Genesis
189.8
Isotta Fraschini
187.6

Autódromo José Carlos Pace (Interlagos) — km/h

Cadillac
183.6
Porsche
183.4
Toyota
182.9
Alpine
181.8
Ferrari
181.4
Peugeot
181.4
Aston Martin
181.2
BMW
181
Genesis
180.7
Isotta Fraschini
178.4
Lamborghini
178.1

Bahrain International Circuit — km/h

Toyota
178.9
Alpine
178.3
Peugeot
177.6
Porsche
176
Aston Martin
175.5
Ferrari
175.1
BMW
175.1
Cadillac
175
Lamborghini
173.3
Vanwall
170.3

Fuji Speedway — km/h

Cadillac
181.5
Toyota
181
Porsche
180.8
Ferrari
180.7
Aston Martin
180.7
Alpine
180.6
Peugeot
180.4
BMW
180.2
Lamborghini
179.3
Vanwall
177.2

Lusail International Circuit — km/h

Porsche
195.5
Ferrari
192.6
Peugeot
192.3
Cadillac
191.9
BMW
191.8
Alpine
191.2
Toyota
191.1
Lamborghini
190.7
Aston Martin
189.4
Isotta Fraschini
187.8

Circuit of the Americas — km/h

Toyota
176.3
Alpine
176.3
Ferrari
175.7
BMW
175.7
Cadillac
175.5
Porsche
175.4
Peugeot
174.7
Lamborghini
174.4
Aston Martin
156.2

Autodromo Nazionale Monza — km/h

Glickenhaus
215.9
Toyota
215.7
Ferrari
215.5
Peugeot
215.2
Porsche
214.4
Cadillac
214.4
Alpine
213.8
Vanwall
209.2

Autódromo Internacional do Algarve — km/h

Alpine
184.2
Toyota
184.1
Ferrari
181.2
Glickenhaus
181.2
Cadillac
180
Porsche
179.5
Peugeot
178.8
Vanwall
175.8

Sebring International Raceway — km/h

Toyota
200.8
Ferrari
199.7
Cadillac
199.5
Alpine
198.7
Porsche
198.2
Glickenhaus
196.8
Peugeot
196.8
Vanwall
195.6

Daytona International Speedway — km/h

Cadillac
215.9
Porsche
215.7
BMW
215.1
Acura
214.9
Aston Martin
210.9
Lamborghini
210

The cars that defined the era

The three programs at the front — and the data comparisons that pit them directly against each other.

Porsche Porsche 963
7 wins · 21 podiums
Car profile →
Ferrari Ferrari 499P
7 wins · 24 podiums
Car profile →
Toyota Toyota GR010 Hybrid
22 wins · 43 podiums
Car profile →

Go deeper

Every race behind these numbers, and the entities in the Knowledge Graph.

All comparisons Le Mans 24h DashboardDaytona 24h Dashboard 6 Hours of Imola 2026 — AI Data Analysis6 Hours of Spa-Francorchamps 2026 — AI Data Analysis24 Hours of Le Mans 2026 — AI Data Analysis6 Hours of São Paulo 2026 — AI Data AnalysisRolex 24 At Daytona 2026 — AI Data Analysis1812 km of Qatar 2025 — AI Data Analysis6 Hours of Imola 2025 — AI Data Analysis6 Hours of Spa-Francorchamps 2025 — AI Data Analysis24 Hours of Le Mans 2025 — AI Data Analysis6 Hours of São Paulo 2025 — AI Data Analysis6 Hours of the Americas 2025 — AI Data Analysis6 Hours of Fuji 2025 — AI Data Analysis8 Hours of Bahrain 2025 — AI Data AnalysisRolex 24 At Daytona 2025 — AI Data Analysis1812 km of Qatar 2024 — AI Data Analysis6 Hours of Imola 2024 — AI Data Analysis6 Hours of Spa-Francorchamps 2024 — AI Data Analysis24 Hours of Le Mans 2024 — AI Data Analysis6 Hours of São Paulo 2024 — AI Data Analysis6 Hours of the Americas 2024 — AI Data Analysis6 Hours of Fuji 2024 — AI Data Analysis8 Hours of Bahrain 2024 — AI Data AnalysisRolex 24 At Daytona 2024 — AI Data Analysis1000 Miles of Sebring 2023 — AI Data Analysis6 Hours of Portimão 2023 — AI Data Analysis6 Hours of Spa-Francorchamps 2023 — AI Data Analysis24 Hours of Le Mans 2023 — AI Data Analysis6 Hours of Monza 2023 — AI Data Analysis6 Hours of Fuji 2023 — AI Data Analysis8 Hours of Bahrain 2023 — AI Data Analysis1000 Miles of Sebring 2022 — AI Data Analysis6 Hours of Spa-Francorchamps 2022 — AI Data Analysis24 Hours of Le Mans 2022 — AI Data Analysis6 Hours of Monza 2022 — AI Data Analysis6 Hours of Fuji 2022 — AI Data Analysis8 Hours of Bahrain 2022 — AI Data Analysis6 Hours of Spa-Francorchamps 2021 — AI Data Analysis8 Hours of Portimão 2021 — AI Data Analysis6 Hours of Monza 2021 — AI Data Analysis24 Hours of Le Mans 2021 — AI Data Analysis6 Hours of Bahrain 2021 — AI Data Analysis8 Hours of Bahrain 2021 — AI Data Analysis6 Hours of the Americas 2020 — AI Data Analysis6 Hours of Spa-Francorchamps 2020 — AI Data Analysis24 Hours of Le Mans 2020 — AI Data Analysis8 Hours of Bahrain 2020 — AI Data Analysis1000 Miles of Sebring 2019 — AI Data Analysis6 Hours of Spa-Francorchamps 2019 — AI Data Analysis24 Hours of Le Mans 2019 — AI Data Analysis4 Hours of Silverstone 2019 — AI Data Analysis6 Hours of Fuji 2019 — AI Data Analysis4 Hours of Shanghai 2019 — AI Data Analysis8 Hours of Bahrain 2019 — AI Data Analysis6 Hours of Spa-Francorchamps 2018 — AI Data Analysis24 Hours of Le Mans 2018 — AI Data Analysis6 Hours of Silverstone 2018 — AI Data Analysis6 Hours of Fuji 2018 — AI Data Analysis6 Hours of Shanghai 2018 — AI Data Analysis6 Hours of Silverstone 2017 — AI Data Analysis6 Hours of Spa-Francorchamps 2017 — AI Data Analysis24 Hours of Le Mans 2017 — AI Data Analysis6 Hours of the Nürburgring 2017 — AI Data Analysis6 Hours of Mexico City 2017 — AI Data Analysis6 Hours of the Americas 2017 — AI Data Analysis6 Hours of Fuji 2017 — AI Data Analysis6 Hours of Shanghai 2017 — AI Data Analysis6 Hours of Bahrain 2017 — AI Data Analysis6 Hours of Silverstone 2016 — AI Data Analysis6 Hours of Spa-Francorchamps 2016 — AI Data Analysis24 Hours of Le Mans 2016 — AI Data Analysis6 Hours of the Nürburgring 2016 — AI Data Analysis6 Hours of Mexico City 2016 — AI Data Analysis6 Hours of the Americas 2016 — AI Data Analysis6 Hours of Fuji 2016 — AI Data Analysis6 Hours of Shanghai 2016 — AI Data Analysis6 Hours of Bahrain 2016 — AI Data Analysis6 Hours of Silverstone 2015 — AI Data Analysis6 Hours of Spa-Francorchamps 2015 — AI Data Analysis24 Hours of Le Mans 2015 — AI Data Analysis6 Hours of the Nürburgring 2015 — AI Data Analysis6 Hours of the Americas 2015 — AI Data Analysis6 Hours of Fuji 2015 — AI Data Analysis6 Hours of Shanghai 2015 — AI Data Analysis6 Hours of Bahrain 2015 — AI Data Analysis6 Hours of Silverstone 2014 — AI Data Analysis6 Hours of Spa-Francorchamps 2014 — AI Data Analysis24 Hours of Le Mans 2014 — AI Data Analysis6 Hours of the Americas 2014 — AI Data Analysis6 Hours of Fuji 2014 — AI Data Analysis6 Hours of Shanghai 2014 — AI Data Analysis6 Hours of Bahrain 2014 — AI Data Analysis6 Hours of São Paulo 2014 — AI Data Analysis6 Hours of Silverstone 2013 — AI Data Analysis6 Hours of Spa-Francorchamps 2013 — AI Data Analysis24 Hours of Le Mans 2013 — AI Data Analysis6 Hours of São Paulo 2013 — AI Data Analysis6 Hours of the Americas 2013 — AI Data Analysis6 Hours of Fuji 2013 — AI Data Analysis6 Hours of Shanghai 2013 — AI Data Analysis6 Hours of Bahrain 2013 — AI Data Analysis12 Hours of Sebring 2012 — AI Data Analysis6 Hours of Spa-Francorchamps 2012 — AI Data Analysis24 Hours of Le Mans 2012 — AI Data Analysis6 Hours of Silverstone 2012 — AI Data Analysis6 Hours of São Paulo 2012 — AI Data Analysis6 Hours of Bahrain 2012 — AI Data Analysis6 Hours of Fuji 2012 — AI Data Analysis6 Hours of Shanghai 2012 — AI Data Analysis