Nn (NNBR) Finished Goods (2011 - 2018)
Nn (NNBR) reported Finished Goods of $27.11 million for Q4 2018, up 53.9% from $17.61 million a year earlier.
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Analysis
Nn (NNBR) Finished Goods (2011 - 2018) Analysis & Trends
Dating back to Q4 2011, Nn's Finished Goods record includes 17 quarters.
- Finished Goods has a five-year compound annual growth rate of -1.6% (FY2013 to FY2018).
- By year, Finished Goods came in at $17.61 million in FY2017 and $34.4 million in FY2014 (+17.0%).
- The Q4 2018 figure ranks as the highest quarterly Finished Goods since Q3 2015.
- The high point for year-over-year Finished Goods in five years was Q4 2018 (growth of 53.9%); the low point was Q1 2015 (a decline of 4.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Nn | 192.95 Mn | 266.56 Mn | 21.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 27.11 Mn |
| Dec 31, 2017 | 17.61 Mn |
| Sep 30, 2015 | 31.52 Mn |
| Jun 30, 2015 | 30.35 Mn |
| Mar 31, 2015 | 29.26 Mn |
| Dec 31, 2014 | 34.40 Mn |
| Sep 30, 2014 | 31.40 Mn |
| Jun 30, 2014 | 30.67 Mn |
| Mar 31, 2014 | 30.51 Mn |
| Dec 31, 2013 | 29.41 Mn |
| Sep 30, 2013 | 24.37 Mn |
| Jun 30, 2013 | 23.76 Mn |
| Mar 31, 2013 | 23.49 Mn |
| Dec 31, 2012 | 24.58 Mn |
| Sep 30, 2012 | 22.62 Mn |
| Jun 30, 2012 | 21.88 Mn |
| Dec 31, 2011 | 23.74 Mn |
API Access
Nn Finished Goods 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=finished-goods&ticker=NNBR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "ticker": "NNBR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=finished-goods&ticker=NNBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();