e.l.f. Beauty (ELF) Non-Current Debt (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.
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Analysis
e.l.f. Beauty (ELF) Non-Current Debt (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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 22.84 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 7.82 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 6.80 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 7.07 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 6.47 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 2.21 Bn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 3.98 Bn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 802.00 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 1.53 Bn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 96.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 802.00 Mn |
| Mar 31, 2026 | 809.35 Mn |
| Dec 31, 2025 | 816.70 Mn |
| Sep 30, 2025 | 831.55 Mn |
| Jun 30, 2025 | 256.68 Mn |
| Mar 31, 2025 | 256.68 Mn |
| Dec 31, 2024 | 154.06 Mn |
| Sep 30, 2024 | 156.65 Mn |
| Jun 30, 2024 | 159.23 Mn |
| Mar 31, 2024 | 161.82 Mn |
| Dec 31, 2023 | 164.40 Mn |
| Sep 30, 2023 | 57.74 Mn |
| Jun 30, 2023 | 59.61 Mn |
| Mar 31, 2023 | 60.88 Mn |
| Dec 31, 2022 | 62.18 Mn |
| Sep 30, 2022 | 88.28 Mn |
| Jun 30, 2022 | 89.68 Mn |
| Mar 31, 2022 | 91.08 Mn |
| Dec 31, 2021 | 92.47 Mn |
| Sep 30, 2021 | 93.87 Mn |
API Access
e.l.f. Beauty Non-Current Debt 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_KEYimport 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();