Jewett Cameron Trading (JCTC) Operating Expenses (2010 - 2026)
Jewett Cameron Trading (JCTC) reported Operating Expenses of $2.54 million for fiscal Q3 2026 (quarter ended May 31, 2026), down 1.3% from $2.58 million a year earlier and down 7.9% from the prior quarter.
Jewett Cameron Trading (JCTC) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Jewett Cameron Trading's Operating Expenses came in at $10.3 million, up 3.6% year-over-year; for FY2025 (ended Aug 31, 2025), it was $10 million, down 6.1% from FY2024.
- Operating Expenses has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $10.65 million in FY2024 (-9.8%), $11.82 million in FY2023 (-0.1%), $11.82 million in FY2022 (+13.6%) and $10.41 million in FY2021 (+20.8%).
- Five-year quarterly Operating Expenses spans a low of $2.22 million in fiscal Q4 2024 and a high of $3.33 million in fiscal Q3 2022.
- Year over year, Operating Expenses gained in three of the last eight quarters, with an average decline of 3.4%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q1 2022 (growth of 25.3%); the low point was fiscal Q4 2024 (a decline of 16.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $2.76 million (Q2 2026), $2.71 million (Q1 2026) and $2.29 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn | -909.20 Mn |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn | 887.10 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn | 267.00 Mn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn | - |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn | 229.01 Mn |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 191.90 Mn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn | 263.20 Mn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn | 13.64 Mn |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn | 26.11 Mn |
| 10 | Jewett Cameron Trading | 10.21 Mn | 7.34 Mn | 1.77 Mn | 2.54 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 2.54 Mn |
| Feb 28, 2026 | 2.76 Mn |
| Nov 30, 2025 | 2.71 Mn |
| Aug 31, 2025 | 2.29 Mn |
| May 31, 2025 | 2.58 Mn |
| Feb 28, 2025 | 2.59 Mn |
| Nov 30, 2024 | 2.55 Mn |
| Aug 31, 2024 | 2.22 Mn |
| May 31, 2024 | 2.90 Mn |
| Feb 29, 2024 | 2.79 Mn |
| Nov 30, 2023 | 2.75 Mn |
| Aug 31, 2023 | 2.66 Mn |
| May 31, 2023 | 3.16 Mn |
| Feb 28, 2023 | 3.13 Mn |
| Nov 30, 2022 | 2.87 Mn |
| Aug 31, 2022 | 2.83 Mn |
| May 31, 2022 | 3.33 Mn |
| Feb 28, 2022 | 2.73 Mn |
| Nov 30, 2021 | 2.93 Mn |
| Aug 31, 2021 | 2.45 Mn |
Jewett Cameron Trading Operating 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=operating-expenses&ticker=JCTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=JCTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();