e.l.f. Beauty (ELF) Payables (2015 - 2026)
e.l.f. Beauty's Payables was $95.92 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 28.6% from $74.6 million a year earlier but down 1.6% from the prior quarter.
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Analysis
e.l.f. Beauty (ELF) Payables (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Payables at e.l.f. Beauty came in at $97.47 million, up 35.0% from FY2025.
- Payables shows a five-year compound annual growth rate of 44.1% (FY2021 to FY2026).
- In earlier fiscal years, Payables was $72.18 million in FY2025 (-11.0%), $81.08 million in FY2024 (+158.0%), $31.43 million in FY2023 (+63.5%) and $19.23 million in FY2022 (+22.5%).
- Quarterly Payables has moved between $16.02 million (fiscal Q1 2023) and $109.3 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, Payables has increased for four straight quarters, with growth averaging 14.0% over the last eight quarters.
- The best year-over-year quarter for Payables over five years was fiscal Q1 2024 (growth of 232.3%); the worst was fiscal Q4 2025 (a decline of 11.0%).
- Per Business Quant data, ELF's Payables in the three fiscal quarters before Q1 2027 was $97.47 million (Q4 2026), $73.98 million (Q3 2026) and $109.3 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 16.31 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 2.15 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 1.58 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 2.58 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 3.80 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 825.80 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 2.69 Bn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 95.92 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 433.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 85.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 95.92 Mn |
| Mar 31, 2026 | 97.47 Mn |
| Dec 31, 2025 | 73.98 Mn |
| Sep 30, 2025 | 109.30 Mn |
| Jun 30, 2025 | 74.60 Mn |
| Mar 31, 2025 | 72.18 Mn |
| Dec 31, 2024 | 65.29 Mn |
| Sep 30, 2024 | 93.62 Mn |
| Jun 30, 2024 | 79.99 Mn |
| Mar 31, 2024 | 81.08 Mn |
| Dec 31, 2023 | 72.92 Mn |
| Sep 30, 2023 | 63.74 Mn |
| Jun 30, 2023 | 53.24 Mn |
| Mar 31, 2023 | 31.43 Mn |
| Dec 31, 2022 | 32.05 Mn |
| Sep 30, 2022 | 19.28 Mn |
| Jun 30, 2022 | 16.02 Mn |
| Mar 31, 2022 | 19.23 Mn |
| Dec 31, 2021 | 22.76 Mn |
| Sep 30, 2021 | 19.30 Mn |
API Access
e.l.f. Beauty Payables 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=payables&ticker=ELF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=ELF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();