Nn (NNBR) Restructuring Costs (2009 - 2019)
Nn (NNBR) posted Restructuring Costs of -$12,000 for FY2019, compared with $689,000 in FY2018.
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Analysis
Nn (NNBR) Restructuring Costs (2009 - 2019) Analysis & Trends
Since FY2009, Nn has reported Restructuring Costs for 9 years.
- The FY2019 figure stands as the lowest annual Restructuring Costs in data going back to FY2009.
- Business Quant data shows NNBR's Restructuring Costs at $689,000 in FY2018 (+78.5%), $386,000 in FY2017 (-93.2%), $5.66 million in FY2016 (-51.6%) and $11.68 million in FY2015 (+26.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn |
| 10 | Nn | 250.71 Mn | 237.71 Mn | 18.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | -12,000.00 |
| Sep 30, 2018 | 597,000.00 |
| Jun 30, 2018 | 3.44 Mn |
| Dec 31, 2017 | -233,000.00 |
| Sep 30, 2017 | 619,000.00 |
| Jun 30, 2017 | 6,000.00 |
| Mar 31, 2017 | 11,000.00 |
| Sep 30, 2016 | 606,000.00 |
| Jun 30, 2016 | 4.05 Mn |
| Mar 31, 2016 | 2.54 Mn |
| Dec 31, 2015 | 7.73 Mn |
| Sep 30, 2015 | 3.95 Mn |
| Dec 31, 2014 | 1.50 Mn |
| Sep 30, 2014 | 8.40 Mn |
| Mar 31, 2011 | -209,000.00 |
| Dec 31, 2010 | 229,000.00 |
| Sep 30, 2010 | 823,000.00 |
| Jun 30, 2010 | 667,000.00 |
| Mar 31, 2010 | 569,000.00 |
| Dec 31, 2009 | 235,000.00 |
API Access
Nn Restructuring Costs 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=restructuring-costs&ticker=NNBR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=NNBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();