Jewett Cameron Trading (JCTC) Non-Current Assets (2011 - 2026)
Jewett Cameron Trading (JCTC) posted Non-Current Assets of $3.08 million for fiscal Q3 2026 (quarter ended May 31, 2026), down 34.7% from $4.72 million a year earlier and down 1.9% from the prior quarter.
Jewett Cameron Trading (JCTC) Non-Current Assets (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Jewett Cameron Trading's Non-Current Assets came in at $3.75 million, down 12.7% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- In prior fiscal years, Jewett Cameron Trading's Non-Current Assets was $4.3 million in FY2024 (-15.8%), $5.11 million in FY2023 (+4.6%), $4.89 million in FY2022 (+24.7%) and $3.92 million in FY2021 (+32.0%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Non-Current Assets since fiscal Q4 2020.
- On a year-over-year basis, Non-Current Assets has declined in each of the last ten quarters, with an average decline of 17.7% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was fiscal Q1 2022, with growth of 43.1%; the weakest was fiscal Q3 2026, with a decline of 34.7%.
- According to Business Quant data, Non-Current Assets for the three prior fiscal quarters was $3.14 million (Q2 2026), $3.2 million (Q1 2026) and $3.75 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn | 6.75 Bn |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn | 3.19 Bn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn | 1.31 Bn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn | 3.90 Bn |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn | 584.69 Mn |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 1.54 Bn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn | 566.50 Mn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn | 26.92 Mn |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn | 125.32 Mn |
| 10 | Jewett Cameron Trading | 10.21 Mn | 7.34 Mn | 1.77 Mn | 3.08 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 3.08 Mn |
| Feb 28, 2026 | 3.14 Mn |
| Nov 30, 2025 | 3.20 Mn |
| Aug 31, 2025 | 3.75 Mn |
| May 31, 2025 | 4.72 Mn |
| Feb 28, 2025 | 4.59 Mn |
| Nov 30, 2024 | 4.47 Mn |
| Aug 31, 2024 | 4.30 Mn |
| May 31, 2024 | 4.99 Mn |
| Feb 29, 2024 | 4.79 Mn |
| Nov 30, 2023 | 4.89 Mn |
| Aug 31, 2023 | 5.11 Mn |
| May 31, 2023 | 5.27 Mn |
| Feb 28, 2023 | 5.36 Mn |
| Nov 30, 2022 | 4.83 Mn |
| Aug 31, 2022 | 4.89 Mn |
| May 31, 2022 | 4.69 Mn |
| Feb 28, 2022 | 4.67 Mn |
| Nov 30, 2021 | 4.44 Mn |
| Aug 31, 2021 | 3.92 Mn |
Jewett Cameron Trading Non-Current 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=non-current-assets&ticker=JCTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=JCTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();