Nn (NNBR) Price to Earnings (2011 - 2021)
Nn's Price to Earnings was 1.69 in Q3 2021, down 15.0% from the prior quarter.
Powered by 
Analysis
Nn (NNBR) Price to Earnings (2011 - 2021) Analysis & Trends
For FY2017, Price to Earnings at Nn came in at 4.69, down 94.0% from FY2016.
- In earlier years, Price to Earnings was 77.91 in FY2016, 47.50 in FY2014 (+129.2%) and 20.72 in FY2013 (+222.1%).
- The Q3 2021 figure marks the lowest quarterly Price to Earnings in data going back to Q1 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn |
| 10 | Nn | 237.11 Mn | 310.72 Mn | 21.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2021 | 1.69 |
| Jun 30, 2021 | 1.99 |
| Mar 31, 2021 | 2.13 |
| Sep 30, 2018 | 100.80 |
| Jun 30, 2018 | 3.63 |
| Mar 31, 2018 | 4.47 |
| Dec 31, 2017 | 4.69 |
| Sep 30, 2017 | 7.03 |
| Mar 31, 2017 | 44.85 |
| Dec 31, 2016 | 77.90 |
| Sep 30, 2015 | 25.86 |
| Jun 30, 2015 | 45.69 |
| Mar 31, 2015 | 53.45 |
| Dec 31, 2014 | 47.50 |
| Sep 30, 2014 | 45.70 |
| Jun 30, 2014 | 22.78 |
| Mar 31, 2014 | 17.89 |
| Dec 31, 2013 | 20.72 |
| Sep 30, 2013 | 12.99 |
| Jun 30, 2013 | 10.39 |
API Access
Nn Price to Earnings 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=price-to-earnings&ticker=NNBR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=NNBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();