Jewett Cameron Trading (JCTC) Total Non-Current Liabilities (2014 - 2015)
Jewett Cameron Trading's Total Non-Current Liabilities came in at $2.14 million for fiscal Q1 2016 (quarter ended Nov 30, 2015), up 54.3% from $1.39 million a year earlier and up 6.0% from the prior quarter.
Jewett Cameron Trading (JCTC) Total Non-Current Liabilities (2014 - 2015) Analysis & Trends
At the end of FY2015 (ended Aug 31, 2015), Jewett Cameron Trading's Total Non-Current Liabilities was $2.02 million.
- Going back by fiscal year, Total Non-Current Liabilities was $60,972 in FY2014.
- Business Quant data shows JCTC's Total Non-Current Liabilities at $2.02 million (Q4 2015), $56,100 (Q3 2015) and $1.87 million (Q2 2015) in the three fiscal quarters before Q1 2016.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.19 Bn | 11.24 Bn | 1.07 Bn | 1.37 Bn |
| 2 | Hasbro | 12.45 Bn | 8.24 Bn | 867.20 Mn | 4.76 Bn |
| 3 | Acushnet Holdings | 4.82 Bn | 4.56 Bn | 445.83 Mn | 1.53 Bn |
| 4 | Mattel | 3.78 Bn | 452.27 Mn | 542.12 Mn | 3.07 Bn |
| 5 | YETI Holdings | 3.11 Bn | 2.42 Bn | 322.52 Mn | 642.79 Mn |
| 6 | Callaway Golf | 2.53 Bn | -18.69 Mn | 306.70 Mn | 590.50 Mn |
| 7 | Peloton Interactive | 2.21 Bn | -2.41 Bn | 344.40 Mn | 2.16 Bn |
| 8 | Unusual Machines | 1.24 Bn | 781.41 Mn | 5.80 Mn | 2.57 Mn |
| 9 | Sturm Ruger | 673.80 Mn | 277.80 Mn | 33.74 Mn | - |
| 10 | Jewett Cameron Trading | 10.28 Mn | 7.41 Mn | 1.77 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2015 | 2.14 Mn |
| Aug 31, 2015 | 2.02 Mn |
| May 31, 2015 | 56,100.00 |
| Feb 28, 2015 | 1.87 Mn |
| Nov 30, 2014 | 1.39 Mn |
| Aug 31, 2014 | 60,972.00 |
Jewett Cameron Trading Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=JCTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=JCTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();