e.l.f. Beauty (ELF) Net Long-Term Debt Issued (Repaid) (2015 - 2026)
e.l.f. Beauty's Non-Current Debt was $802 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 212.5% from $256.68 million a year earlier but down 0.9% from the prior quarter.
e.l.f. Beauty (ELF) Net Long-Term Debt Issued (Repaid) (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Non-Current Debt at e.l.f. Beauty came in at $809.35 million, up 215.3% from FY2025.
- Non-Current Debt has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 49.0% (FY2021 to FY2026).
- In earlier fiscal years, Non-Current Debt was $256.68 million in FY2025 (+58.6%), $161.82 million in FY2024 (+165.8%), $60.88 million in FY2023 (-33.2%) and $91.08 million in FY2022 (-17.4%).
- Quarterly Non-Current Debt has moved between $57.74 million (fiscal Q2 2024) and $831.55 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, Non-Current Debt has increased for six straight quarters, with growth averaging 196.7% over the last eight quarters.
- The best year-over-year quarter for Non-Current Debt over five years was fiscal Q2 2026 (growth of 430.8%); the worst was fiscal Q2 2024 (a decline of 34.6%).
- Per Business Quant data, ELF's Non-Current Debt in the three fiscal quarters before Q1 2027 was $809.35 million (Q4 2026), $816.7 million (Q3 2026) and $831.55 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (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
| 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 | 91.36 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 | -25.19 Mn |
| Mar 31, 2021 | -3.09 Mn |
e.l.f. Beauty Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=ELF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=ELF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();