Jewett Cameron Trading (JCTC) Total Liabilities (2011 - 2026)
Jewett Cameron Trading (JCTC) reported Total Liabilities of $3.63 million for fiscal Q3 2026 (quarter ended May 31, 2026), down 41.5% from $6.21 million a year earlier and down 42.3% from the prior quarter.
Jewett Cameron Trading (JCTC) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Jewett Cameron Trading posted Total Liabilities of $4.7 million, up 77.9% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- By fiscal year, Total Liabilities came in at $2.64 million in FY2024 (-53.7%), $5.7 million in FY2023 (-45.3%), $10.42 million in FY2022 (+66.4%) and $6.26 million in FY2021 (+59.4%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Total Liabilities since fiscal Q1 2025.
- Year over year, Total Liabilities gained in four of the last eight quarters, with growth averaging 29.3%.
- The high point for year-over-year Total Liabilities in five years was fiscal Q2 2022 (growth of 295.4%); the low point was fiscal Q3 2024 (a decline of 74.9%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $6.29 million (Q2 2026), $6.41 million (Q1 2026) and $4.7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn | 3.34 Bn |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn | 5.31 Bn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn | 1.65 Bn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn | 4.36 Bn |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn | 692.22 Mn |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 620.50 Mn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn | 2.20 Bn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn | 9.45 Mn |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn | 74.49 Mn |
| 10 | Jewett Cameron Trading | 10.21 Mn | 7.34 Mn | 1.77 Mn | 3.63 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 3.63 Mn |
| Feb 28, 2026 | 6.29 Mn |
| Nov 30, 2025 | 6.41 Mn |
| Aug 31, 2025 | 4.70 Mn |
| May 31, 2025 | 6.21 Mn |
| Feb 28, 2025 | 3.95 Mn |
| Nov 30, 2024 | 2.55 Mn |
| Aug 31, 2024 | 2.64 Mn |
| May 31, 2024 | 3.29 Mn |
| Feb 29, 2024 | 4.10 Mn |
| Nov 30, 2023 | 4.55 Mn |
| Aug 31, 2023 | 5.70 Mn |
| May 31, 2023 | 13.11 Mn |
| Feb 28, 2023 | 10.90 Mn |
| Nov 30, 2022 | 10.60 Mn |
| Aug 31, 2022 | 10.42 Mn |
| May 31, 2022 | 12.97 Mn |
| Feb 28, 2022 | 13.36 Mn |
| Nov 30, 2021 | 8.81 Mn |
| Aug 31, 2021 | 6.26 Mn |
Jewett Cameron Trading Total Liabilities 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=total-liabilities&ticker=JCTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=JCTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();