e.l.f. Beauty (ELF) Receivables (2015 - 2026)
e.l.f. Beauty (ELF) posted Receivables of $174.53 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 0.7% from $173.35 million a year earlier but down 0.1% from the prior quarter.
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Analysis
e.l.f. Beauty (ELF) Receivables (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), e.l.f. Beauty's Receivables came in at $174.64 million, up 38.6% from FY2025.
- Annual Receivables has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 34.2% (FY2021 to FY2026).
- In prior fiscal years, e.l.f. Beauty's Receivables was $126.01 million in FY2025 (+1.8%), $123.8 million in FY2024 (+82.2%), $67.93 million in FY2023 (+49.1%) and $45.57 million in FY2022 (+13.4%).
- Quarterly Receivables has run from a low of $44.37 million in fiscal Q2 2022 to a high of $190.3 million in fiscal Q3 2026 over five years.
- On a year-over-year basis, Receivables has increased in each of the last 22 quarters, with growth averaging 22.9% over the last eight quarters.
- Across the past five years, year-over-year growth in Receivables ran from 0.7% in fiscal Q1 2027 to 82.8% in fiscal Q3 2024.
- According to Business Quant data, Receivables for the three prior fiscal quarters was $174.64 million (Q4 2026), $190.3 million (Q3 2026) and $154.69 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 6.06 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 1.96 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 1.52 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 2.48 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 1.86 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 596.80 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 813.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 174.53 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 357.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 310.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 174.53 Mn |
| Mar 31, 2026 | 174.64 Mn |
| Dec 31, 2025 | 190.30 Mn |
| Sep 30, 2025 | 154.69 Mn |
| Jun 30, 2025 | 173.35 Mn |
| Mar 31, 2025 | 126.01 Mn |
| Dec 31, 2024 | 187.74 Mn |
| Sep 30, 2024 | 146.56 Mn |
| Jun 30, 2024 | 155.70 Mn |
| Mar 31, 2024 | 123.80 Mn |
| Dec 31, 2023 | 121.06 Mn |
| Sep 30, 2023 | 86.68 Mn |
| Jun 30, 2023 | 90.53 Mn |
| Mar 31, 2023 | 67.93 Mn |
| Dec 31, 2022 | 66.24 Mn |
| Sep 30, 2022 | 53.91 Mn |
| Jun 30, 2022 | 52.28 Mn |
| Mar 31, 2022 | 45.57 Mn |
| Dec 31, 2021 | 47.18 Mn |
| Sep 30, 2021 | 44.37 Mn |
API Access
e.l.f. Beauty Receivables 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=receivables&ticker=ELF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=ELF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();