Jewett Cameron Trading (JCTC) Other Operating Expenses (2010 - 2026)
Jewett Cameron Trading (JCTC) recorded Other Operating Expenses of $1.24 million in fiscal Q3 2026 (quarter ended May 31, 2026), down 20.9% from $1.57 million a year earlier and down 6.5% from the prior quarter.
Jewett Cameron Trading (JCTC) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Jewett Cameron Trading's Other Operating Expenses came in at $5.06 million as of May 31, 2026, down 18.8% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $6.15 million, down 9.2% from FY2024.
- Annual Other Operating Expenses has a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- Across earlier fiscal years, Other Operating Expenses came in at $6.77 million in FY2024 (-13.7%), $7.84 million in FY2023 (+0.4%), $7.82 million in FY2022 (+8.5%) and $7.2 million in FY2021 (+17.8%).
- Quarterly Other Operating Expenses has ranged from $1.19 million in fiscal Q4 2025 to $2.21 million in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Other Operating Expenses has declined for 14 consecutive quarters, with an average decline of 15.0% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 18.2% in fiscal Q1 2022, against a decline of 25.1% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.33 million (Q2 2026), $1.3 million (Q1 2026) and $1.19 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 | 1.24 Mn |
| Feb 28, 2026 | 1.33 Mn |
| Nov 30, 2025 | 1.30 Mn |
| Aug 31, 2025 | 1.19 Mn |
| May 31, 2025 | 1.57 Mn |
| Feb 28, 2025 | 1.65 Mn |
| Nov 30, 2024 | 1.74 Mn |
| Aug 31, 2024 | 1.28 Mn |
| May 31, 2024 | 1.87 Mn |
| Feb 29, 2024 | 1.82 Mn |
| Nov 30, 2023 | 1.80 Mn |
| Aug 31, 2023 | 1.57 Mn |
| May 31, 2023 | 2.20 Mn |
| Feb 28, 2023 | 2.03 Mn |
| Nov 30, 2022 | 2.04 Mn |
| Aug 31, 2022 | 1.62 Mn |
| May 31, 2022 | 2.21 Mn |
| Feb 28, 2022 | 2.04 Mn |
| Nov 30, 2021 | 1.94 Mn |
| Aug 31, 2021 | 1.80 Mn |
Jewett Cameron Trading Other 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=other-operating-expenses&ticker=JCTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=JCTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();