Federal Signal (FSS) Net Long-Term Debt Issued (Repaid) (2010 - 2016)
Federal Signal (FSS) reported Non-Current Debt of -$4 million for Q3 2011, compared with $21.4 million a year earlier.
Analysis
Federal Signal (FSS) Net Long-Term Debt Issued (Repaid) (2010 - 2016) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 329.02 Bn | 300.71 Bn | 7.76 Bn | 1.91 Bn |
| 2 | Amphenol | 192.72 Bn | 187.30 Bn | 3.55 Bn | -1.19 Bn |
| 3 | Deere | 172.38 Bn | 140.47 Bn | 4.66 Bn | -481.00 Mn |
| 4 | Eaton | 149.63 Bn | 146.82 Bn | 2.86 Bn | -74.00 Mn |
| 5 | Parker-Hannifin | 113.97 Bn | 112.10 Bn | 2.25 Bn | 1.00 Mn |
| 6 | Emerson Electric | 92.87 Bn | 85.61 Bn | 2.66 Bn | -1.42 Bn |
| 7 | 3M | 89.31 Bn | 70.75 Bn | 2.78 Bn | 2.53 Bn |
| 8 | Vertiv Holdings | 80.78 Bn | 71.40 Bn | 1.23 Bn | - |
| 9 | Illinois Tool Works | 78.66 Bn | 75.22 Bn | 1.90 Bn | - |
| 10 | Federal Signal | 7.06 Bn | 6.81 Bn | 203.80 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2016 | -43.40 Mn |
| Dec 31, 2015 | -2.90 Mn |
| Sep 30, 2015 | -1.50 Mn |
| Jun 30, 2015 | -1.40 Mn |
| Dec 31, 2014 | -18.30 Mn |
| Sep 30, 2014 | -1.90 Mn |
| Jun 30, 2014 | -1.40 Mn |
| Dec 31, 2013 | -2.90 Mn |
| Jun 30, 2013 | -1.50 Mn |
| Mar 31, 2013 | -74.20 Mn |
| Dec 31, 2012 | -100,000.00 |
| Sep 30, 2012 | -65.00 Mn |
| Jun 30, 2012 | -900,000.00 |
| Mar 31, 2012 | 181.50 Mn |
| Dec 31, 2011 | 27.10 Mn |
| Sep 30, 2011 | -4.90 Mn |
| Jun 30, 2011 | -4.80 Mn |
| Mar 31, 2011 | -31.20 Mn |
| Dec 31, 2010 | -14.10 Mn |
| Sep 30, 2010 | 21.40 Mn |
API Access
Federal Signal Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=FSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "FSS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-current-debt&ticker=FSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();