e.l.f. Beauty (ELF) Long-Term Debt Repayments (2015 - 2026)
e.l.f. Beauty's Long-Term Debt Repayments came in at $7.5 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), unchanged from the prior quarter.
Powered by 
Analysis
e.l.f. Beauty (ELF) Long-Term Debt Repayments (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, e.l.f. Beauty reported Long-Term Debt Repayments of $22.5 million, down 87.0% year-over-year; for FY2026 (ended Mar 31, 2026), it was $15 million, down 91.3% from FY2025.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of 5.0% (FY2021 to FY2026).
- Going back by fiscal year, Long-Term Debt Repayments was $173.38 million in FY2025, $7.88 million in FY2024 (-73.8%), $30 million in FY2023 (-45.0%) and $54.53 million in FY2022 (+363.8%).
- The five-year range for quarterly Long-Term Debt Repayments is $1.25 million (fiscal Q2 2022) to $165.31 million (fiscal Q4 2025).
- Year-over-year, Long-Term Debt Repayments increased in two of the last four quarters, with growth averaging 103.4%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in fiscal Q2 2025 (growth of 330.0%), and the weakest in fiscal Q1 2023 (a decline of 97.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 389.52 Bn | 341.08 Bn | 11.60 Bn | 747.00 Mn |
| 2 | Colgate Palmolive | 77.87 Bn | 72.35 Bn | 3.23 Bn | 1.00 Mn |
| 3 | Estee Lauder Companies | 40.86 Bn | 27.95 Bn | 2.81 Bn | 1.00 Mn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | - |
| 5 | Kimberly Clark | 36.57 Bn | 32.51 Bn | 1.44 Bn | - |
| 6 | Church & Dwight | 26.26 Bn | 24.65 Bn | 749.40 Mn | - |
| 7 | Clorox | 12.68 Bn | 10.94 Bn | 770.00 Mn | - |
| 8 | e.l.f. Beauty | 6.96 Bn | 5.78 Bn | 370.22 Mn | 7.50 Mn |
| 9 | Reynolds Consumer Products | 5.15 Bn | 4.85 Bn | 236.00 Mn | - |
| 10 | Bath & Body Works | 4.60 Bn | 1.80 Bn | 692.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.50 Mn |
| Jun 30, 2026 | 7.50 Mn |
| Mar 31, 2026 | 7.50 Mn |
| Dec 31, 2025 | 7.50 Mn |
| Mar 31, 2025 | 165.31 Mn |
| Dec 31, 2024 | 2.69 Mn |
| Sep 30, 2024 | 5.38 Mn |
| Mar 31, 2024 | 2.69 Mn |
| Dec 31, 2023 | 2.69 Mn |
| Sep 30, 2023 | 1.25 Mn |
| Jun 30, 2023 | 1.25 Mn |
| Mar 31, 2023 | 1.25 Mn |
| Dec 31, 2022 | 26.25 Mn |
| Sep 30, 2022 | 1.25 Mn |
| Jun 30, 2022 | 1.25 Mn |
| Mar 31, 2022 | 1.25 Mn |
| Dec 31, 2021 | 1.25 Mn |
| Sep 30, 2021 | 1.25 Mn |
| Jun 30, 2021 | 50.78 Mn |
| Mar 31, 2021 | 3.09 Mn |
API Access
e.l.f. Beauty 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=ELF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=ELF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();