Nn (NNBR) Acquisitions (2014 - 2018)
Nn's Acquisitions came in at -$2,000 for Q4 2018, compared with $38.43 million a year earlier.
Analysis
Nn (NNBR) Acquisitions (2014 - 2018) Analysis & Trends
For FY2018, Nn's Acquisitions was $399.01 million, up 938.2% from FY2017.
- Acquisitions carries a four-year compound annual growth rate of 11.6% (FY2014 to FY2018).
- Going back by year, Acquisitions was $38.43 million in FY2017, $628.28 million in FY2015 (+143.8%) and $257.66 million in FY2014.
- The Q4 2018 figure represents the lowest quarterly Acquisitions since Q4 2016.
- Business Quant data shows NNBR's Acquisitions at $5.53 million (Q3 2018), $378.81 million (Q2 2018) and $14.68 million (Q1 2018) in the three quarters before Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 14.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 92.20 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 16.00 Mn |
| 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 | 264.20 Mn |
| 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 | -2,000.00 |
| Sep 30, 2018 | 5.53 Mn |
| Jun 30, 2018 | 378.81 Mn |
| Mar 31, 2018 | 14.68 Mn |
| Dec 31, 2017 | 38.43 Mn |
| Dec 31, 2016 | -1.64 Mn |
| Dec 31, 2015 | 619.26 Mn |
| Sep 30, 2015 | 51,000.00 |
| Dec 31, 2014 | -1.84 Mn |
| Sep 30, 2014 | 243.29 Mn |
| Jun 30, 2014 | 8.91 Mn |
| Mar 31, 2014 | 7.31 Mn |
API Access
Nn Acquisitions 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=acquisitions&ticker=NNBR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=NNBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();