e.l.f. Beauty (ELF) Short-Term Debt repayments (2015 - 2025)
e.l.f. Beauty's Short-Term Debt repayments came in at $50 million for FY2026 (year ended Mar 31, 2026), down 44.1% from $89.5 million in FY2025.
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Analysis
e.l.f. Beauty (ELF) Short-Term Debt repayments (2015 - 2025) Analysis & Trends
Going back to FY2014, e.l.f. Beauty's Short-Term Debt repayments data covers 9 fiscal years.
- Short-Term Debt repayments carries a five-year compound annual growth rate of 20.1% (FY2021 to FY2026).
- The FY2026 figure represents the lowest annual Short-Term Debt repayments since FY2022.
- Per Business Quant, earlier fiscal years put Short-Term Debt repayments at $89.5 million in FY2025 and $26.48 million in FY2022 (+32.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 389.52 Bn | 341.08 Bn | 11.60 Bn | 157.00 Mn |
| 2 | Colgate Palmolive | 77.87 Bn | 72.35 Bn | 3.23 Bn | - |
| 3 | Estee Lauder Companies | 40.86 Bn | 27.95 Bn | 2.81 Bn | - |
| 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 | - |
| 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 |
|---|---|
| Mar 31, 2025 | 89.50 Mn |
| Dec 31, 2021 | 13.48 Mn |
| Sep 30, 2021 | 13.00 Mn |
| Jun 30, 2020 | 20.00 Mn |
| Mar 31, 2018 | 2.00 Mn |
| Dec 31, 2017 | 11.30 Mn |
| Sep 30, 2017 | 8.10 Mn |
| Jun 30, 2017 | 6.50 Mn |
| Sep 30, 2016 | 5.50 Mn |
| Mar 31, 2016 | 7.70 Mn |
| Dec 31, 2015 | 6.85 Mn |
API Access
e.l.f. Beauty Short-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=short-term-debt-repayments&ticker=ELF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-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=short-term-debt-repayments&ticker=ELF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();