Jewett Cameron Trading (JCTC) EV to EBITDA (2011 - 2024)
Jewett Cameron Trading's EV to EBITDA was 33.38 in fiscal Q2 2024 (quarter ended Feb 29, 2024), up 56.3% from 21.35 a year earlier but down 91.9% from the prior quarter.
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Analysis
Jewett Cameron Trading (JCTC) EV to EBITDA (2011 - 2024) Analysis & Trends
On a trailing twelve-month basis, Jewett Cameron Trading's EV to EBITDA was 21.13 through Feb 29, 2024, up 28.4% year-over-year; for FY2023 (ended Aug 31, 2023), it came in at 18.99, up 99.9% from FY2022.
- EV to EBITDA has now increased for three consecutive fiscal years.
- In earlier fiscal years, EV to EBITDA was 9.50 in FY2022 (+5.6%), 9.00 in FY2021 (+63.1%), 5.52 in FY2020 (-27.5%) and 7.60 in FY2019 (+10.4%).
- Quarterly EV to EBITDA has moved between 3.69 (fiscal Q3 2019) and 414.02 (fiscal Q1 2024) over five years.
- Compared with a year earlier, EV to EBITDA was higher in five of the last six quarters, with growth averaging 54.5%.
- The best year-over-year quarter for EV to EBITDA over five years was fiscal Q2 2023 (growth of 193.0%); the worst was fiscal Q1 2023 (a decline of 45.6%).
- Per Business Quant data, JCTC's EV to EBITDA in the three fiscal quarters before Q2 2024 was 414.02 (Q1 2024), 18.99 (Q4 2023) and 99.17 (Q3 2023).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 29, 2024 | 33.38 |
| Nov 30, 2023 | 414.02 |
| Aug 31, 2023 | 18.99 |
| May 31, 2023 | 99.17 |
| Feb 28, 2023 | 21.35 |
| Nov 30, 2022 | 5.74 |
| Aug 31, 2022 | 9.50 |
| May 31, 2022 | 6.89 |
| Feb 28, 2022 | 7.29 |
| Nov 30, 2021 | 10.55 |
| Aug 31, 2021 | 9.00 |
| May 31, 2021 | 5.85 |
| Feb 28, 2021 | 7.47 |
| Nov 30, 2020 | 5.33 |
| Aug 31, 2020 | 5.52 |
| May 31, 2019 | 3.69 |
| Feb 28, 2019 | 7.23 |
| Nov 30, 2018 | 5.74 |
| Aug 31, 2018 | 6.89 |
| May 31, 2018 | 6.33 |
API Access
Jewett Cameron Trading EV to EBITDA 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=ev-to-ebitda&ticker=JCTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=JCTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();