Interactive Strength (TRNR) Price to Book (2023 - 2026)
Interactive Strength's Price to Book came in at 0.58 for Q2 2026, up 57.0% from 0.37 a year earlier and up 127.2% from the prior quarter.
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Analysis
Interactive Strength (TRNR) Price to Book (2023 - 2026) Analysis & Trends
For FY2025, Interactive Strength's Price to Book was 0.19, up 118.1% from FY2024.
- Going back by year, Price to Book was 0.09 in FY2024.
- The Q2 2026 figure represents the highest quarterly Price to Book since Q3 2024.
- Year-over-year, Price to Book increased in two of the last five quarters, with an average decline of 5.3%.
- Business Quant data shows TRNR's Price to Book at 0.25 (Q1 2026), 0.19 (Q4 2025) and 0.38 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amer Sports | 15.22 Bn | 11.27 Bn | 1.07 Bn |
| 2 | Hasbro | 12.37 Bn | 8.16 Bn | 867.20 Mn |
| 3 | Acushnet Holdings | 4.82 Bn | 4.56 Bn | 445.83 Mn |
| 4 | Mattel | 3.62 Bn | 292.28 Mn | 542.12 Mn |
| 5 | YETI Holdings | 2.99 Bn | 2.31 Bn | 322.52 Mn |
| 6 | Callaway Golf | 2.52 Bn | -29.40 Mn | 306.70 Mn |
| 7 | Peloton Interactive | 2.19 Bn | -2.43 Bn | 344.40 Mn |
| 8 | Unusual Machines | 1.22 Bn | 760.93 Mn | 5.80 Mn |
| 9 | Sturm Ruger | 679.08 Mn | 283.08 Mn | 33.74 Mn |
| 10 | Interactive Strength | 932,225.87 | -6.12 Mn | 3.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.58 |
| Mar 31, 2026 | 0.25 |
| Dec 31, 2025 | 0.19 |
| Sep 30, 2025 | 0.38 |
| Jun 30, 2025 | 0.37 |
| Mar 31, 2025 | 0.34 |
| Dec 31, 2024 | 0.09 |
| Sep 30, 2024 | 5.39 |
| Jun 30, 2024 | 2.15 |
| Jun 30, 2023 | 7.79 |
API Access
Interactive Strength 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=TRNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "TRNR", "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=TRNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();