Planet Fitness (PLNT) Price to Book (2015 - 2026)
Planet Fitness' (PLNT) quarterly Price to Book came in at 6.38 in Q2 2026, up 88.96% on a YoY basis from 3.38 in Q2 2025, and up 47.65% quarter-over-quarter from 12.19 in Q1 2026.
Planet Fitness (PLNT) Price to Book (2015 - 2026) Analysis & Trends
Planet Fitness (PLNT) has reported Price to Book for 12 consecutive years, with 6.38 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Book rose 88.96% year-over-year to 6.38; the trailing twelve-month figure through Jun 2026 stood at 6.38 (up 88.96% YoY), and the FY2025 full-year result was 18.05, up 53.37% from the prior year.
- Price to Book rose to 6.38 in Q2 2026 per PLNT's latest filing, from 12.19 in the prior quarter.
- Across five years, Price to Book topped out at 6.38 in Q2 2026 and bottomed at 57.81 in Q2 2025.
- Historically, Price to Book has averaged 31.68 across 5 years, with a median of 28.65 in 2022.
- The sharpest annual moves came in 2022 and 2026: Price to Book plunged 268.35% in 2022, then jumped 88.96% in 2026.
- Over 5 years, Price to Book stood at 31.08 in 2022, then tumbled by 71.28% to 53.23 in 2023, then increased by 27.27% to 38.71 in 2024, then surged by 53.37% to 18.05 in 2025, then surged by 64.65% to 6.38 in 2026.
- According to Business Quant data, Price to Book over the past three periods registered 6.38, 12.19, and 18.05 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Las Vegas Sands | 25.40 Bn | 22.34 Bn | 1.81 Bn |
| 2 | DraftKings | 18.89 Bn | 17.90 Bn | 551.45 Mn |
| 3 | Flutter Entertainment | 14.91 Bn | 13.72 Bn | 1.71 Bn |
| 4 | MGM Resorts International | 9.52 Bn | 7.83 Bn | 3.10 Bn |
| 5 | Madison Square Garden Sports | 9.51 Bn | 9.35 Bn | 119.21 Mn |
| 6 | Life Time Group Holdings | 8.86 Bn | 8.63 Bn | 412.26 Mn |
| 7 | Wynn Resorts | 8.42 Bn | 6.11 Bn | 1.14 Bn |
| 8 | Super Group (SGHC) | 6.08 Bn | 5.53 Bn | - |
| 9 | Caesars Entertainment | 6.03 Bn | 5.15 Bn | 2.04 Bn |
| 10 | Planet Fitness | 3.08 Bn | 2.68 Bn | 300.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -6.38 |
| Mar 31, 2026 | -12.19 |
| Dec 31, 2025 | -18.05 |
| Sep 30, 2025 | -44.23 |
| Jun 30, 2025 | -57.81 |
| Mar 31, 2025 | -36.84 |
| Dec 31, 2024 | -38.71 |
| Sep 30, 2024 | -25.57 |
| Jun 30, 2024 | -19.44 |
| Mar 31, 2024 | -54.80 |
| Dec 31, 2023 | -53.23 |
| Sep 30, 2023 | -25.47 |
| Jun 30, 2023 | -26.23 |
| Mar 31, 2023 | -41.74 |
| Dec 31, 2022 | -31.08 |
| Sep 30, 2022 | -19.39 |
| Jun 30, 2022 | -25.01 |
| Mar 31, 2022 | -34.00 |
| Dec 31, 2021 | -11.81 |
| Sep 30, 2021 | -9.94 |
Planet Fitness Price to Book API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=price-to-book&ticker=PLNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "PLNT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=price-to-book&ticker=PLNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();