Ufp Industries (UFPI) Income Taxes Paid (2010 - 2016)
Ufp Industries' Income Taxes Paid was $13.93 million in Q4 2016, down 20.2% from $17.46 million a year earlier and down 41.0% from the prior quarter.
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Analysis
Ufp Industries (UFPI) Income Taxes Paid (2010 - 2016) Analysis & Trends
For FY2016, Income Taxes Paid at Ufp Industries came in at $57.31 million, up 34.0% from FY2015.
- Income Taxes Paid has now increased for three consecutive years, with a five-year compound annual growth rate of 56.2% (FY2011 to FY2016).
- In earlier years, Income Taxes Paid was $42.77 million in FY2015 (+11.2%), $38.48 million in FY2014 (+166.7%), $14.43 million in FY2013 (-13.9%) and $16.75 million in FY2012 (+171.8%).
- Quarterly Income Taxes Paid has moved between -$9.71 million (Q1 2015) and $23.93 million (Q3 2015) over five years.
- Compared with a year earlier, Income Taxes Paid was higher in four of the last six quarters, with growth averaging 48.1%.
- The best year-over-year quarter for Income Taxes Paid over five years was Q4 2013 (growth of 701.6%); the worst was Q4 2012 (a decline of 64.4%).
- Per Business Quant data, UFPI's Income Taxes Paid in the three quarters before Q4 2016 was $23.6 million (Q3 2016), $23.87 million (Q2 2016) and -$4.08 million (Q1 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.83 Bn | 87.44 Bn | 2.38 Bn | - |
| 2 | Johnson Controls International | 86.23 Bn | 83.96 Bn | 2.47 Bn | - |
| 3 | Carrier Global | 44.37 Bn | 38.74 Bn | 1.90 Bn | - |
| 4 | Comfort Systems Usa | 38.86 Bn | 32.82 Bn | 934.48 Mn | - |
| 5 | Otis Worldwide | 30.38 Bn | 26.78 Bn | 1.16 Bn | - |
| 6 | James Hardie Industries | 17.54 Bn | 16.47 Bn | 562.40 Mn | - |
| 7 | Masco | 16.93 Bn | 14.74 Bn | 720.00 Mn | - |
| 8 | Allegion | 16.21 Bn | 14.84 Bn | 548.20 Mn | - |
| 9 | Carlisle Companies | 15.67 Bn | 12.57 Bn | 494.90 Mn | - |
| 10 | Ufp Industries | 4.58 Bn | 1.51 Bn | 244.92 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 13.93 Mn |
| Sep 24, 2016 | 23.60 Mn |
| Jun 25, 2016 | 23.87 Mn |
| Mar 26, 2016 | -4.08 Mn |
| Dec 26, 2015 | 17.46 Mn |
| Sep 26, 2015 | 23.93 Mn |
| Jun 27, 2015 | 11.08 Mn |
| Mar 28, 2015 | -9.71 Mn |
| Dec 27, 2014 | 11.87 Mn |
| Sep 27, 2014 | 20.07 Mn |
| Jun 28, 2014 | 4.85 Mn |
| Mar 29, 2014 | 1.68 Mn |
| Dec 28, 2013 | 7.65 Mn |
| Sep 28, 2013 | 7.69 Mn |
| Jun 29, 2013 | 5.29 Mn |
| Mar 30, 2013 | -6.20 Mn |
| Dec 29, 2012 | 954,000.00 |
| Sep 29, 2012 | 9.51 Mn |
| Jun 30, 2012 | 2.89 Mn |
| Mar 31, 2012 | 3.40 Mn |
API Access
Ufp Industries Income Taxes Paid 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=income-taxes-paid&ticker=UFPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "ticker": "UFPI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=income-taxes-paid&ticker=UFPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();