Perrigo (PRGO) Income Taxes Paid (2013 - 2016)
Perrigo's Income Taxes Paid came in at $98.9 million for FY2025, down 36.5% from $155.7 million in FY2024.
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Analysis
Perrigo (PRGO) Income Taxes Paid (2013 - 2016) Analysis & Trends
Going back to FY2012, Perrigo's Income Taxes Paid data covers 14 years.
- Income Taxes Paid carries a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- The FY2025 figure represents the lowest annual Income Taxes Paid since FY2020.
- Per Business Quant, earlier years put Income Taxes Paid at $155.7 million in FY2024 (+44.8%), $107.5 million in FY2023 (+7.3%), $100.2 million in FY2022 (-77.6%) and $448 million in FY2021 (+451.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 393.58 Bn | 345.38 Bn | 11.60 Bn | - |
| 2 | Colgate Palmolive | 79.23 Bn | 74.06 Bn | 3.23 Bn | 189.00 Mn |
| 3 | Estee Lauder Companies | 40.61 Bn | 27.71 Bn | 2.81 Bn | - |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | - |
| 5 | Kimberly Clark | 36.40 Bn | 32.48 Bn | 1.44 Bn | - |
| 6 | Church & Dwight | 26.67 Bn | 25.06 Bn | 749.40 Mn | 13.40 Mn |
| 7 | Clorox | 13.24 Bn | 11.66 Bn | 770.00 Mn | - |
| 8 | e.l.f. Beauty | 6.97 Bn | 5.79 Bn | 370.22 Mn | - |
| 9 | Reynolds Consumer Products | 5.22 Bn | 4.91 Bn | 236.00 Mn | 30.00 Mn |
| 10 | Perrigo | 2.26 Bn | -5.41 Mn | 320.80 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 62.30 Mn |
| Apr 2, 2016 | 34.50 Mn |
| Dec 31, 2015 | -25.20 Mn |
| Sep 26, 2015 | 19.80 Mn |
| Mar 28, 2015 | 92.20 Mn |
| Dec 27, 2014 | 9.90 Mn |
| Sep 27, 2014 | 10.90 Mn |
| Jun 28, 2014 | 9.90 Mn |
| Mar 29, 2014 | 9.40 Mn |
| Dec 28, 2013 | 51.80 Mn |
| Sep 28, 2013 | 22.10 Mn |
| Jun 29, 2013 | 39.70 Mn |
| Mar 30, 2013 | 25.60 Mn |
API Access
Perrigo 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=PRGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "ticker": "PRGO", "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=PRGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();