Jewett Cameron Trading (JCTC) EBITDA Margin (2010 - 2026)
Jewett Cameron Trading's EBITDA Margin was -7.18% in fiscal Q3 2026 (quarter ended May 31, 2026), down 2.36 percentage points from -4.82% a year earlier but up 2.78 percentage points from the prior quarter.
Jewett Cameron Trading (JCTC) EBITDA Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Jewett Cameron Trading's EBITDA Margin was -17.30% through May 31, 2026, down 12.09 percentage points year-over-year; for FY2025 (ended Aug 31, 2025), it was -8.30%, down 5.29 percentage points from FY2024.
- EBITDA Margin has now declined for five consecutive fiscal years, with a five-year change of -17.37 percentage points (FY2020 to FY2025).
- In earlier fiscal years, EBITDA Margin was -3.01% in FY2024 (-4.53 pp), 1.53% in FY2023 (-2.11 pp), 3.64% in FY2022 (-3.29 pp) and 6.93% in FY2021 (-2.14 pp).
- Quarterly EBITDA Margin has moved between -42.84% (fiscal Q1 2026) and 10.05% (fiscal Q3 2022) over five years.
- Compared with a year earlier, EBITDA Margin has declined for five straight quarters, with an average year-over-year change of -7.81 percentage points over the last eight quarters.
- The best year-over-year quarter for EBITDA Margin over five years was fiscal Q2 2024 (a gain of 6.05 percentage points); the worst was fiscal Q1 2026 (a drop of 34.45 percentage points).
- Per Business Quant data, JCTC's EBITDA Margin in the three fiscal quarters before Q3 2026 was -9.96% (Q2 2026), -42.84% (Q1 2026) and -13.06% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn | 18.63% |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn | 24.96% |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn | 23.16% |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn | 5.30% |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn | - |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 20.30% |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn | 15.25% |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn | -46.40% |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn | 8.87% |
| 10 | Jewett Cameron Trading | 10.21 Mn | 7.34 Mn | 1.77 Mn | -7.18% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | -7.18% |
| Feb 28, 2026 | -9.96% |
| Nov 30, 2025 | -42.84% |
| Aug 31, 2025 | -13.06% |
| May 31, 2025 | -4.82% |
| Feb 28, 2025 | -7.61% |
| Nov 30, 2024 | -8.39% |
| Aug 31, 2024 | -1.71% |
| May 31, 2024 | 0.85% |
| Feb 29, 2024 | -7.72% |
| Nov 30, 2023 | -7.05% |
| Aug 31, 2023 | 3.38% |
| May 31, 2023 | 7.13% |
| Feb 28, 2023 | -13.78% |
| Nov 30, 2022 | 0.83% |
| Aug 31, 2022 | -1.31% |
| May 31, 2022 | 10.05% |
| Feb 28, 2022 | 5.55% |
| Nov 30, 2021 | -3.08% |
| Aug 31, 2021 | 4.04% |
Jewett Cameron Trading EBITDA Margin 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=ebitda-margin&ticker=JCTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=JCTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();