e.l.f. Beauty (ELF) Total Non-Current Liabilities (2015 - 2026)
e.l.f. Beauty (ELF) posted Total Non-Current Liabilities of $1.24 billion for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 143.6% from $508.78 million a year earlier and up 1.1% from the prior quarter.
e.l.f. Beauty (ELF) Total Non-Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), e.l.f. Beauty's Total Non-Current Liabilities came in at $1.23 billion, up 151.9% from FY2025.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 41.3% (FY2021 to FY2026).
- In prior fiscal years, e.l.f. Beauty's Total Non-Current Liabilities was $486.27 million in FY2025 (unchanged), $486.06 million in FY2024 (+164.4%), $183.8 million in FY2023 (+1.3%) and $181.43 million in FY2022 (-16.4%).
- The fiscal Q1 2027 figure stands as the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q4 2019.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last five quarters, with growth averaging 85.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was fiscal Q3 2024, with growth of 190.5%; the weakest was fiscal Q1 2023, with a decline of 16.5%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior fiscal quarters was $1.23 billion (Q4 2026), $1.16 billion (Q3 2026) and $1.17 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 389.52 Bn | 341.08 Bn | 11.60 Bn | 72.84 Bn |
| 2 | Colgate Palmolive | 77.87 Bn | 72.35 Bn | 3.23 Bn | 14.09 Bn |
| 3 | Estee Lauder Companies | 40.86 Bn | 27.95 Bn | 2.81 Bn | 9.67 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 15.94 Bn |
| 5 | Kimberly Clark | 36.57 Bn | 32.51 Bn | 1.44 Bn | 13.53 Bn |
| 6 | Church & Dwight | 26.26 Bn | 24.65 Bn | 749.40 Mn | 4.53 Bn |
| 7 | Clorox | 12.68 Bn | 10.94 Bn | 770.00 Mn | 7.30 Bn |
| 8 | e.l.f. Beauty | 6.96 Bn | 5.78 Bn | 370.22 Mn | 1.27 Bn |
| 9 | Reynolds Consumer Products | 5.15 Bn | 4.85 Bn | 236.00 Mn | 2.65 Bn |
| 10 | Bath & Body Works | 4.60 Bn | 1.80 Bn | 692.00 Mn | 6.12 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.27 Bn |
| Jun 30, 2026 | 1.24 Bn |
| Mar 31, 2026 | 1.22 Bn |
| Dec 31, 2025 | 1.16 Bn |
| Sep 30, 2025 | 1.17 Bn |
| Jun 30, 2025 | 508.78 Mn |
| Mar 31, 2025 | 486.27 Mn |
| Dec 31, 2024 | 496.58 Mn |
| Sep 30, 2024 | 508.55 Mn |
| Jun 30, 2024 | 500.59 Mn |
| Mar 31, 2024 | 486.06 Mn |
| Dec 31, 2023 | 493.34 Mn |
| Sep 30, 2023 | 229.57 Mn |
| Jun 30, 2023 | 185.31 Mn |
| Mar 31, 2023 | 183.80 Mn |
| Dec 31, 2022 | 169.83 Mn |
| Sep 30, 2022 | 184.31 Mn |
| Jun 30, 2022 | 179.59 Mn |
| Mar 31, 2022 | 181.43 Mn |
| Dec 31, 2021 | 184.72 Mn |
e.l.f. Beauty 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=ELF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "ELF", "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=ELF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();