ReposiTrak (TRAK) Price to Book (2011 - 2026)
ReposiTrak's (TRAK) Price to Book was 3.13 for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 56.8% from 7.25 a year earlier.
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Analysis
ReposiTrak (TRAK) Price to Book (2011 - 2026) Analysis & Trends
Dating back to fiscal Q4 2011, ReposiTrak's Price to Book record includes 58 quarters.
- By fiscal year, Price to Book came in at 7.25 in FY2025 (+21.9%), 5.95 in FY2024 (+47.8%), 4.03 in FY2023 (+112.7%) and 1.89 in FY2022 (-19.9%).
- The fiscal Q4 2026 figure ranks as the lowest quarterly Price to Book since fiscal Q3 2023.
- Year over year, Price to Book gained in four of the last seven quarters, with growth averaging 18.9%.
- The high point for year-over-year Price to Book in five years was fiscal Q3 2024 (growth of 143.8%); the low point was fiscal Q4 2026 (a decline of 56.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn |
| 10 | ReposiTrak | 152.34 Mn | 39.02 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.13 |
| Dec 31, 2025 | 4.53 |
| Sep 30, 2025 | 5.40 |
| Jun 30, 2025 | 7.25 |
| Mar 31, 2025 | 7.57 |
| Dec 31, 2024 | 8.43 |
| Sep 30, 2024 | 7.09 |
| Jun 30, 2024 | 5.95 |
| Mar 31, 2024 | 6.21 |
| Dec 31, 2023 | 3.97 |
| Sep 30, 2023 | 3.49 |
| Jun 30, 2023 | 4.03 |
| Mar 31, 2023 | 2.55 |
| Dec 31, 2022 | 2.06 |
| Sep 30, 2022 | 2.25 |
| Jun 30, 2022 | 1.89 |
| Mar 31, 2022 | 2.29 |
| Dec 31, 2021 | 2.44 |
| Sep 30, 2021 | 2.29 |
| Jun 30, 2021 | 2.36 |
API Access
ReposiTrak 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=TRAK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "TRAK", "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=TRAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();