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 | 346.43 Bn | 302.42 Bn | 10.28 Bn | 67.30 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 14.17 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 9.73 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 15.61 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 16.06 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 4.43 Bn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 7.14 Bn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 1.24 Bn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 2.66 Bn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.24 Bn |
| Mar 31, 2026 | 1.23 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 |
| Sep 30, 2021 | 198.12 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();