Perrigo (PRGO) Total Non-Current Liabilities (2013 - 2026)
Perrigo's Total Non-Current Liabilities was $4.02 billion in Q3 2026, down 10.4% from $4.49 billion a year earlier and down 0.4% from the prior quarter.
Perrigo (PRGO) Total Non-Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Perrigo came in at $4.59 billion, up 7.1% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $4.28 billion in FY2024 (-3.8%), $4.45 billion in FY2023 (-12.0%), $5.06 billion in FY2022 (+37.3%) and $3.69 billion in FY2021 (-17.2%).
- The Q3 2026 figure marks the lowest quarterly Total Non-Current Liabilities since Q4 2021.
- Compared with a year earlier, Total Non-Current Liabilities was higher in three of the last eight quarters, with an average decline of 3.2%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2022 (growth of 37.3%); the worst was Q4 2021 (a decline of 17.2%).
- Per Business Quant data, PRGO's Total Non-Current Liabilities in the three quarters before Q3 2026 was $4.04 billion (Q2 2026), $4.49 billion (Q1 2026) and $4.59 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 393.58 Bn | 345.38 Bn | 11.60 Bn | 72.84 Bn |
| 2 | Colgate Palmolive | 79.23 Bn | 74.06 Bn | 3.23 Bn | 14.09 Bn |
| 3 | Estee Lauder Companies | 40.61 Bn | 27.71 Bn | 2.81 Bn | 9.67 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 15.94 Bn |
| 5 | Kimberly Clark | 36.40 Bn | 32.48 Bn | 1.44 Bn | 13.53 Bn |
| 6 | Church & Dwight | 26.67 Bn | 25.06 Bn | 749.40 Mn | 4.53 Bn |
| 7 | Clorox | 13.24 Bn | 11.66 Bn | 770.00 Mn | 7.30 Bn |
| 8 | e.l.f. Beauty | 6.97 Bn | 5.79 Bn | 370.22 Mn | 1.27 Bn |
| 9 | Reynolds Consumer Products | 5.22 Bn | 4.91 Bn | 236.00 Mn | 2.65 Bn |
| 10 | Perrigo | 2.26 Bn | -5.41 Mn | 320.80 Mn | 4.02 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 4.02 Bn |
| Jun 27, 2026 | 4.04 Bn |
| Mar 28, 2026 | 4.49 Bn |
| Dec 31, 2025 | 4.59 Bn |
| Sep 27, 2025 | 4.49 Bn |
| Jun 28, 2025 | 4.50 Bn |
| Mar 29, 2025 | 4.32 Bn |
| Dec 31, 2024 | 4.28 Bn |
| Sep 28, 2024 | 5.19 Bn |
| Jun 29, 2024 | 4.36 Bn |
| Mar 30, 2024 | 4.40 Bn |
| Dec 31, 2023 | 4.45 Bn |
| Sep 30, 2023 | 5.01 Bn |
| Jul 1, 2023 | 5.06 Bn |
| Apr 1, 2023 | 5.03 Bn |
| Dec 31, 2022 | 5.06 Bn |
| Oct 1, 2022 | 5.06 Bn |
| Jul 2, 2022 | 5.06 Bn |
| Apr 2, 2022 | 4.30 Bn |
| Dec 31, 2021 | 3.69 Bn |
Perrigo Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=PRGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=PRGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();