Jewett Cameron Trading (JCTC) Receivables (2011 - 2026)
Jewett Cameron Trading (JCTC) posted Receivables of $4.23 million for fiscal Q3 2026 (quarter ended May 31, 2026), down 37.7% from $6.79 million a year earlier and down 35.1% from the prior quarter.
Jewett Cameron Trading (JCTC) Receivables (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Jewett Cameron Trading's Receivables came in at $3.86 million, up 5.3% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of -9.2% (FY2020 to FY2025).
- In prior fiscal years, Jewett Cameron Trading's Receivables was $3.67 million in FY2024 (-34.9%), $5.63 million in FY2023 (-21.6%), $7.19 million in FY2022 (+1.5%) and $7.09 million in FY2021 (+12.9%).
- Quarterly Receivables has run from a low of $3.31 million in fiscal Q1 2026 to a high of $9.14 million in fiscal Q2 2022 over five years.
- On a year-over-year basis, Receivables increased in four of the last eight quarters, with an average decline of 4.5%.
- The strongest year-over-year quarter for Receivables in the past five years was fiscal Q2 2022, with growth of 79.5%; the weakest was fiscal Q2 2023, with a decline of 53.4%.
- According to Business Quant data, Receivables for the three prior fiscal quarters was $6.52 million (Q2 2026), $3.31 million (Q1 2026) and $3.86 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn | 575.20 Mn |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn | 843.70 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn | 489.38 Mn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn | 820.32 Mn |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn | 174.78 Mn |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 315.70 Mn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn | 82.50 Mn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn | 9.33 Mn |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn | 77.11 Mn |
| 10 | Jewett Cameron Trading | 10.21 Mn | 7.34 Mn | 1.77 Mn | 4.23 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 4.23 Mn |
| Feb 28, 2026 | 6.52 Mn |
| Nov 30, 2025 | 3.31 Mn |
| Aug 31, 2025 | 3.86 Mn |
| May 31, 2025 | 6.79 Mn |
| Feb 28, 2025 | 5.64 Mn |
| Nov 30, 2024 | 4.18 Mn |
| Aug 31, 2024 | 3.67 Mn |
| May 31, 2024 | 7.41 Mn |
| Feb 29, 2024 | 4.68 Mn |
| Nov 30, 2023 | 3.37 Mn |
| Aug 31, 2023 | 5.63 Mn |
| May 31, 2023 | 7.53 Mn |
| Feb 28, 2023 | 4.26 Mn |
| Nov 30, 2022 | 5.24 Mn |
| Aug 31, 2022 | 7.19 Mn |
| May 31, 2022 | 8.27 Mn |
| Feb 28, 2022 | 9.14 Mn |
| Nov 30, 2021 | 5.81 Mn |
| Aug 31, 2021 | 7.09 Mn |
Jewett Cameron Trading Receivables 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=receivables&ticker=JCTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=JCTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();