e.l.f. Beauty (ELF) Total Current Liabilities (2015 - 2026)
e.l.f. Beauty's Total Current Liabilities was $337.66 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 82.8% from $184.74 million a year earlier and up 0.4% from the prior quarter.
e.l.f. Beauty (ELF) Total Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Total Current Liabilities at e.l.f. Beauty came in at $336.16 million, up 89.9% from FY2025.
- Total Current Liabilities shows a five-year compound annual growth rate of 35.6% (FY2021 to FY2026).
- In earlier fiscal years, Total Current Liabilities was $177.06 million in FY2025 (-40.8%), $299.12 million in FY2024 (+177.0%), $107.98 million in FY2023 (+66.1%) and $65.02 million in FY2022 (-11.3%).
- The fiscal Q1 2027 figure marks the highest quarterly Total Current Liabilities in data going back to fiscal Q4 2019.
- Compared with a year earlier, Total Current Liabilities was higher in three of the last eight quarters, with growth averaging 20.7%.
- The best year-over-year quarter for Total Current Liabilities over five years was fiscal Q3 2024 (growth of 246.1%); the worst was fiscal Q4 2025 (a decline of 40.8%).
- Per Business Quant data, ELF's Total Current Liabilities in the three fiscal quarters before Q1 2027 was $336.16 million (Q4 2026), $254.3 million (Q3 2026) and $261.87 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 38.69 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 6.15 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 6.23 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 5.87 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 6.99 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 1.33 Bn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 2.77 Bn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 337.66 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 660.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 287.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 337.66 Mn |
| Mar 31, 2026 | 336.16 Mn |
| Dec 31, 2025 | 254.30 Mn |
| Sep 30, 2025 | 261.87 Mn |
| Jun 30, 2025 | 184.74 Mn |
| Mar 31, 2025 | 177.06 Mn |
| Dec 31, 2024 | 293.91 Mn |
| Sep 30, 2024 | 310.90 Mn |
| Jun 30, 2024 | 299.81 Mn |
| Mar 31, 2024 | 299.12 Mn |
| Dec 31, 2023 | 302.94 Mn |
| Sep 30, 2023 | 152.37 Mn |
| Jun 30, 2023 | 109.71 Mn |
| Mar 31, 2023 | 107.98 Mn |
| Dec 31, 2022 | 87.54 Mn |
| Sep 30, 2022 | 71.95 Mn |
| Jun 30, 2022 | 61.73 Mn |
| Mar 31, 2022 | 65.02 Mn |
| Dec 31, 2021 | 62.51 Mn |
| Sep 30, 2021 | 71.22 Mn |
e.l.f. Beauty Total 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-current-liabilities&ticker=ELF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=ELF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();