Jewett Cameron Trading (JCTC) Assets (2011 - 2026)
Jewett Cameron Trading (JCTC) recorded Assets of $18.41 million in fiscal Q3 2026 (quarter ended May 31, 2026), down 37.1% from $29.24 million a year earlier and down 15.9% from the prior quarter.
Jewett Cameron Trading (JCTC) Assets (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Jewett Cameron Trading reported Assets of $25.48 million, down 7.3% from FY2024.
- Annual Assets has declined for three straight fiscal years, though with a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- Across earlier fiscal years, Assets came in at $27.49 million in FY2024 (-7.7%), $29.8 million in FY2023 (-13.7%), $34.52 million in FY2022 (+18.5%) and $29.14 million in FY2021 (+25.2%).
- The fiscal Q3 2026 figure is the lowest quarterly Assets since fiscal Q2 2020.
- On a year-over-year basis, Assets has declined for four consecutive quarters, with an average decline of 12.3% over the last eight quarters.
- Peak year-over-year performance for Assets in the last five years was growth of 55.6% in fiscal Q2 2022, against a decline of 37.1% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $21.88 million (Q2 2026), $23.25 million (Q1 2026) and $25.48 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn | 10.23 Bn |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn | 6.04 Bn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn | 2.58 Bn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn | 6.36 Bn |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn | 1.30 Bn |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 2.78 Bn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn | 2.06 Bn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn | 397.49 Mn |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn | 364.29 Mn |
| 10 | Jewett Cameron Trading | 10.21 Mn | 7.34 Mn | 1.77 Mn | 18.41 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 18.41 Mn |
| Feb 28, 2026 | 21.88 Mn |
| Nov 30, 2025 | 23.25 Mn |
| Aug 31, 2025 | 25.48 Mn |
| May 31, 2025 | 29.24 Mn |
| Feb 28, 2025 | 27.63 Mn |
| Nov 30, 2024 | 26.75 Mn |
| Aug 31, 2024 | 27.49 Mn |
| May 31, 2024 | 28.33 Mn |
| Feb 29, 2024 | 28.99 Mn |
| Nov 30, 2023 | 29.94 Mn |
| Aug 31, 2023 | 29.80 Mn |
| May 31, 2023 | 36.92 Mn |
| Feb 28, 2023 | 33.97 Mn |
| Nov 30, 2022 | 34.65 Mn |
| Aug 31, 2022 | 34.52 Mn |
| May 31, 2022 | 37.25 Mn |
| Feb 28, 2022 | 36.16 Mn |
| Nov 30, 2021 | 31.33 Mn |
| Aug 31, 2021 | 29.14 Mn |
Jewett Cameron Trading Assets 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=assets&ticker=JCTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=JCTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();