Jewett Cameron Trading (JCTC) Accumulated Expenses (2011 - 2026)
Jewett Cameron Trading (JCTC) posted Accumulated Expenses of $997,042 for fiscal Q3 2026 (quarter ended May 31, 2026), down 47.8% from $1.91 million a year earlier and down 5.4% from the prior quarter.
Jewett Cameron Trading (JCTC) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Jewett Cameron Trading's Accumulated Expenses came in at $1.08 million, down 22.7% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -11.7% (FY2020 to FY2025).
- In prior fiscal years, Jewett Cameron Trading's Accumulated Expenses was $1.4 million in FY2024 (-33.7%), $2.11 million in FY2023 (+13.9%), $1.86 million in FY2022 (+3.2%) and $1.8 million in FY2021 (-10.8%).
- Quarterly Accumulated Expenses has run from a low of $970,973 in fiscal Q1 2026 to a high of $2.33 million in fiscal Q3 2023 over five years.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last six quarters, with an average decline of 23.8% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q3 2023, with growth of 14.0%; the weakest was fiscal Q3 2026, with a decline of 47.8%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $1.05 million (Q2 2026), $970,973 (Q1 2026) and $1.08 million (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 | 997,042.00 |
| Feb 28, 2026 | 1.05 Mn |
| Nov 30, 2025 | 970,973.00 |
| Aug 31, 2025 | 1.08 Mn |
| May 31, 2025 | 1.91 Mn |
| Feb 28, 2025 | 1.64 Mn |
| Nov 30, 2024 | 1.45 Mn |
| Aug 31, 2024 | 1.40 Mn |
| May 31, 2024 | 2.25 Mn |
| Feb 29, 2024 | 1.74 Mn |
| Nov 30, 2023 | 1.40 Mn |
| Aug 31, 2023 | 2.11 Mn |
| May 31, 2023 | 2.33 Mn |
| Feb 28, 2023 | 1.69 Mn |
| Nov 30, 2022 | 1.62 Mn |
| Aug 31, 2022 | 1.86 Mn |
| May 31, 2022 | 2.05 Mn |
| Feb 28, 2022 | 2.08 Mn |
| Nov 30, 2021 | 1.59 Mn |
| Aug 31, 2021 | 1.80 Mn |
Jewett Cameron Trading Accumulated Expenses 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=accumulated-expenses&ticker=JCTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=JCTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();