Q (QCLS) Price to Book (2014 - 2026)
Q's (QCLS) Price to Book was 1.31 for Q1 2026, down 93.9% from 21.54 a year earlier but up 312.1% from the prior quarter.
Analysis
Q (QCLS) Price to Book (2014 - 2026) Analysis & Trends
For FY2025, Price to Book at Q was 0.32, down 98.9% from FY2024.
- Price to Book has declined for four consecutive years.
- By year, Price to Book came in at 28.63 in FY2024 (-70.5%), 96.89 in FY2023 (-99.0%), 9266.49 in FY2022 (-68.0%) and 28963.17 in FY2021.
- Five-year quarterly Price to Book spans a low of 0.32 in Q4 2025 and a high of 31400.61 in Q3 2021.
- Year over year, Price to Book has now declined in each of the last 11 quarters, with an average decline of 86.7% over the last eight quarters.
- The high point for year-over-year Price to Book in five years was Q2 2023 (growth of 14.5%); the low point was Q1 2024 (a decline of 99.7%).
- Per Business Quant data, the three quarters before Q1 2026 came in at 0.32 (Q4 2025), 0.43 (Q3 2025) and 36.59 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn |
| 10 | Q | 2.82 Mn | 2.82 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.31 |
| Dec 31, 2025 | 0.32 |
| Sep 30, 2025 | 0.43 |
| Jun 30, 2025 | 36.59 |
| Mar 31, 2025 | 21.54 |
| Dec 31, 2024 | 28.63 |
| Sep 30, 2024 | 23.87 |
| Jun 30, 2024 | 4,459.46 |
| Mar 31, 2024 | 51.89 |
| Dec 31, 2023 | 96.89 |
| Sep 30, 2023 | 5,385.10 |
| Jun 30, 2023 | 17,606.22 |
| Mar 31, 2023 | 15,554.02 |
| Dec 31, 2022 | 9,266.49 |
| Sep 30, 2022 | 16,863.06 |
| Jun 30, 2022 | 15,371.26 |
| Mar 31, 2022 | 27,115.00 |
| Dec 31, 2021 | 28,963.17 |
| Sep 30, 2021 | 31,400.61 |
| Jun 30, 2021 | 22,730.65 |
API Access
Q 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=QCLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "QCLS", "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=QCLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();