Track (TRCK) Price to Book (2010 - 2026)
Track's Price to Book came in at 1.01 for fiscal Q3 2026 (quarter ended Jun 30, 2026).
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Analysis
Track (TRCK) Price to Book (2010 - 2026) Analysis & Trends
For FY2021 (ended Sep 30, 2021), Track's Price to Book was 14.59.
- Going back by fiscal year, Price to Book was 6.26 in FY2018 (+149.7%) and 2.51 in FY2017 (-70.7%).
- The fiscal Q3 2026 figure represents the highest quarterly Price to Book in data going back to fiscal Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn |
| 10 | Track | 13.58 Mn | -7.56 Mn | 4.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.01 |
| Mar 31, 2022 | 6.87 |
| Dec 31, 2021 | 12.85 |
| Sep 30, 2021 | 14.59 |
| Jun 30, 2021 | 8.14 |
| Mar 31, 2021 | 6.94 |
| Dec 31, 2020 | 5.38 |
| Sep 30, 2018 | 6.26 |
| Jun 30, 2018 | 5.16 |
| Mar 31, 2018 | 2.70 |
| Dec 31, 2017 | 2.04 |
| Sep 30, 2017 | 2.51 |
| Jun 30, 2017 | 3.17 |
| Mar 31, 2017 | 7.49 |
| Dec 31, 2016 | 8.15 |
| Sep 30, 2016 | 8.56 |
| Sep 30, 2015 | 5.07 |
| Jun 30, 2015 | 6.11 |
| Mar 31, 2015 | 5.33 |
| Dec 31, 2014 | 8.57 |
API Access
Track 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=TRCK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "TRCK", "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=TRCK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();