Jewett Cameron Trading (JCTC) Cash & Equivalents (2010 - 2026)
Jewett Cameron Trading (JCTC) reported Cash & Equivalents of $1.06 million for fiscal Q3 2026 (quarter ended May 31, 2026), down 11.7% from $1.2 million a year earlier but up 94.6% from the prior quarter.
Jewett Cameron Trading (JCTC) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Jewett Cameron Trading posted Cash & Equivalents of $226,213, down 95.3% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -43.1% (FY2020 to FY2025).
- By fiscal year, Cash & Equivalents came in at $4.85 million in FY2024, $83,696 in FY2023 (-82.7%), $484,463 in FY2022 (-59.1%) and $1.18 million in FY2021 (-68.8%).
- Five-year quarterly Cash & Equivalents spans a low of $83,696 in fiscal Q4 2023 and a high of $4.85 million in fiscal Q4 2024.
- Year over year, Cash & Equivalents gained in two of the last seven quarters, with an average decline of 30.0%.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q2 2024 (growth of 328.2%); the low point was fiscal Q4 2025 (a decline of 95.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $546,614 (Q2 2026), $1.04 million (Q1 2026) and $226,213 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.10 Bn | 11.15 Bn | 1.07 Bn | 720.40 Mn |
| 2 | Hasbro | 12.69 Bn | 8.48 Bn | 867.20 Mn | 880.50 Mn |
| 3 | Acushnet Holdings | 4.87 Bn | 4.61 Bn | 445.83 Mn | 67.94 Mn |
| 4 | Mattel | 4.30 Bn | 972.25 Mn | 542.12 Mn | 523.86 Mn |
| 5 | YETI Holdings | 3.02 Bn | 2.34 Bn | 322.52 Mn | 59.82 Mn |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 278.10 Mn |
| 7 | Peloton Interactive | 2.18 Bn | -2.44 Bn | 344.40 Mn | 1.21 Bn |
| 8 | Unusual Machines | 1.09 Bn | 625.04 Mn | 5.80 Mn | 229.60 Mn |
| 9 | Sturm Ruger | 697.45 Mn | 301.45 Mn | 33.74 Mn | 30.65 Mn |
| 10 | Jewett Cameron Trading | 10.24 Mn | 7.37 Mn | 1.77 Mn | 1.06 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 1.06 Mn |
| Feb 28, 2026 | 546,614.00 |
| Nov 30, 2025 | 1.04 Mn |
| Aug 31, 2025 | 226,213.00 |
| May 31, 2025 | 1.20 Mn |
| Feb 28, 2025 | 435,635.00 |
| Nov 30, 2024 | 3.04 Mn |
| Aug 31, 2024 | 4.85 Mn |
| May 31, 2024 | 1.05 Mn |
| Feb 29, 2024 | 1.15 Mn |
| Nov 30, 2023 | 3.56 Mn |
| Aug 31, 2023 | 83,696.00 |
| May 31, 2023 | 2.72 Mn |
| Feb 28, 2023 | 268,389.00 |
| Nov 30, 2022 | 1.74 Mn |
| Aug 31, 2022 | 484,463.00 |
| May 31, 2022 | 2.13 Mn |
| Feb 28, 2022 | 899,055.00 |
| Nov 30, 2021 | 1.24 Mn |
| Aug 31, 2021 | 1.18 Mn |
Jewett Cameron Trading Cash & Equivalents 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=cash-and-equivalents&ticker=JCTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=JCTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();