Perrigo (PRGO) Long-Term Debt Repayments (2013 - 2026)
Perrigo's Long-Term Debt Repayments came in at $335 million for Q2 2026, compared with $8.8 million a year earlier and down 21.0% from the prior quarter.
Perrigo (PRGO) Long-Term Debt Repayments (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Perrigo reported Long-Term Debt Repayments of $776.5 million, down 49.1% year-over-year; for FY2025, it was $34.8 million, down 97.7% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of -43.2% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $1.53 billion in FY2024 (+370.0%), $325.3 million in FY2023 (-66.5%), $970.6 million in FY2022 and $30.6 million in FY2021 (-94.8%).
- The five-year range for quarterly Long-Term Debt Repayments is $5.8 million (Q4 2022) to $1.11 billion (Q4 2024).
- Year-over-year, Long-Term Debt Repayments increased in 1 of the last five quarters, with growth averaging 10.1%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q4 2024 (growth of 267.9%), and the weakest in Q4 2025 (a decline of 99.2%).
- Business Quant data shows PRGO's Long-Term Debt Repayments at $424.3 million (Q1 2026), $8.7 million (Q4 2025) and $8.5 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 367.14 Bn | 322.89 Bn | 10.28 Bn | 1.03 Bn |
| 2 | Colgate Palmolive | 74.80 Bn | 69.53 Bn | 3.30 Bn | 4.00 Mn |
| 3 | Estee Lauder Companies | 37.60 Bn | 25.67 Bn | 2.74 Bn | - |
| 4 | Kenvue | 36.63 Bn | 32.25 Bn | 2.30 Bn | - |
| 5 | Kimberly Clark | 35.53 Bn | 32.72 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 24.88 Bn | 23.41 Bn | 693.90 Mn | - |
| 7 | Clorox | 10.33 Bn | 8.61 Bn | 804.00 Mn | - |
| 8 | e.l.f. Beauty | 6.73 Bn | 5.71 Bn | 398.84 Mn | 7.50 Mn |
| 9 | Reynolds Consumer Products | 4.77 Bn | 4.44 Bn | 245.00 Mn | - |
| 10 | Perrigo | 2.21 Bn | 493.59 Mn | 313.90 Mn | 335.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 335.00 Mn |
| Mar 28, 2026 | 424.30 Mn |
| Dec 31, 2025 | 8.70 Mn |
| Sep 27, 2025 | 8.50 Mn |
| Jun 28, 2025 | 8.80 Mn |
| Mar 29, 2025 | 8.80 Mn |
| Dec 31, 2024 | 1.11 Bn |
| Sep 28, 2024 | 400.80 Mn |
| Jun 29, 2024 | 9.80 Mn |
| Mar 30, 2024 | 9.80 Mn |
| Dec 31, 2023 | 301.30 Mn |
| Sep 30, 2023 | 9.10 Mn |
| Jul 1, 2023 | 9.00 Mn |
| Apr 1, 2023 | 5.90 Mn |
| Dec 31, 2022 | 5.80 Mn |
| Oct 1, 2022 | 5.90 Mn |
| Dec 31, 2021 | 30.60 Mn |
| Sep 26, 2020 | 590.00 Mn |
| Sep 28, 2019 | 317.10 Mn |
| Jun 29, 2019 | 146.60 Mn |
Perrigo Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=PRGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=PRGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();