Jewett Cameron Trading (JCTC) Price to Book (2011 - 2026)
Jewett Cameron Trading's (JCTC) Price to Book came in at 0.52 for fiscal Q3 2026 (quarter ended May 31, 2026), down 11.1% from 0.59 a year earlier but up 24.2% from the prior quarter.
Jewett Cameron Trading (JCTC) Price to Book (2011 - 2026) Analysis & Trends
For FY2025 (ended Aug 31, 2025), Jewett Cameron Trading's Price to Book stood at 0.61, down 6.0% from FY2024.
- Annual Price to Book has declined for four consecutive fiscal years.
- In prior fiscal years, Jewett Cameron Trading's Price to Book was 0.65 in FY2024 (-0.9%), 0.66 in FY2023 (-28.9%), 0.92 in FY2022 (-43.0%) and 1.62 in FY2021 (+19.2%).
- Quarterly Price to Book has run from a low of 0.42 in fiscal Q2 2026 to a high of 1.62 in fiscal Q4 2021 over five years.
- On a year-over-year basis, Price to Book has declined in each of the last eight quarters, with an average decline of 13.8% over the last eight quarters.
- The strongest year-over-year quarter for Price to Book in the past five years was fiscal Q4 2021, with growth of 19.2%; the weakest was fiscal Q1 2023, with a decline of 47.9%.
- According to Business Quant data, Price to Book for the three prior fiscal quarters was 0.42 (Q2 2026), 0.51 (Q1 2026) and 0.61 (Q4 2025).
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 | Jewett Cameron Trading | 10.24 Mn | 7.37 Mn | 1.77 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 0.52 |
| Feb 28, 2026 | 0.42 |
| Nov 30, 2025 | 0.51 |
| Aug 31, 2025 | 0.61 |
| May 31, 2025 | 0.59 |
| Feb 28, 2025 | 0.69 |
| Nov 30, 2024 | 0.62 |
| Aug 31, 2024 | 0.65 |
| May 31, 2024 | 0.75 |
| Feb 29, 2024 | 0.74 |
| Nov 30, 2023 | 0.67 |
| Aug 31, 2023 | 0.66 |
| May 31, 2023 | 0.68 |
| Feb 28, 2023 | 0.83 |
| Nov 30, 2022 | 0.74 |
| Aug 31, 2022 | 0.92 |
| May 31, 2022 | 0.97 |
| Feb 28, 2022 | 1.22 |
| Nov 30, 2021 | 1.42 |
| Aug 31, 2021 | 1.62 |
Jewett Cameron Trading 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=JCTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "JCTC", "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=JCTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();