Trilogy Metals (TMQ) Capital Expenditures (2016 - 2019)
Trilogy Metals (TMQ) reported Capital Expenditures of $151,000 for fiscal Q4 2019 (quarter ended Nov 30, 2019), down 69.4% from the prior quarter.
Analysis
Trilogy Metals (TMQ) Capital Expenditures (2016 - 2019) Analysis & Trends
For FY2019 (ended Nov 30, 2019), Trilogy Metals posted Capital Expenditures of $645,000.
- Capital Expenditures has a five-year compound annual growth rate of 104.6% (FY2014 to FY2019).
- By fiscal year, Capital Expenditures came in at $7,000 in FY2018 (-97.7%), $300,000 in FY2017 (+145.9%), $122,000 in FY2016 (+154.2%) and $48,000 in FY2015 (+166.7%).
- The fiscal Q4 2019 figure ranks as the lowest quarterly Capital Expenditures since fiscal Q3 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 163.97 Bn | 142.76 Bn | 2.90 Bn | 422.80 Mn |
| 3 | Rio Tinto | 141.19 Bn | 101.70 Bn | - | - |
| 4 | Newmont | 124.53 Bn | 92.53 Bn | 4.03 Bn | 719.00 Mn |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn | 1.10 Bn |
| 6 | Agnico Eagle Mines | 93.96 Bn | 83.59 Bn | 2.43 Bn | -809.26 Mn |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn | 1.19 Bn |
| 8 | Nucor | 60.45 Bn | 49.83 Bn | 2.03 Bn | 571.00 Mn |
| 9 | ArcelorMittal | 48.41 Bn | 27.44 Bn | - | -1.10 Bn |
| 10 | Trilogy Metals | 387.85 Mn | 218.41 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2019 | 151,000.00 |
| Aug 31, 2019 | 494,000.00 |
| Aug 31, 2018 | -6,000.00 |
| May 31, 2018 | 7,000.00 |
| Feb 28, 2018 | 6,000.00 |
| Nov 30, 2017 | 91,000.00 |
| Aug 31, 2017 | 193,000.00 |
| May 31, 2017 | 16,000.00 |
| Nov 30, 2016 | 1,000.00 |
| Aug 31, 2016 | 116,000.00 |
| May 31, 2016 | 3,000.00 |
| Feb 29, 2016 | 2,000.00 |
API Access
Trilogy Metals Capital Expenditures 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=capital-expenditures&ticker=TMQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "TMQ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=TMQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();