e.l.f. Beauty (ELF) Change in Receivables (2015 - 2026)
e.l.f. Beauty (ELF) recorded Change in Receivables of -$198,000 in fiscal Q1 2027 (quarter ended Jun 30, 2026), compared with $46.17 million a year earlier.
e.l.f. Beauty (ELF) Change in Receivables (2015 - 2026) Analysis & Trends
On a TTM basis, e.l.f. Beauty's Change in Receivables came in at -$28.86 million as of Jun 30, 2026; for FY2026 (ended Mar 31, 2026), it was $17.51 million, up 538.4% from FY2025.
- Annual Change in Receivables has a five-year compound annual growth rate of 10.7% (FY2021 to FY2026).
- Across earlier fiscal years, Change in Receivables came in at $2.74 million in FY2025 (-94.5%), $49.6 million in FY2024 (+121.1%), $22.43 million in FY2023 (+300.8%) and $5.6 million in FY2022 (-46.8%).
- Quarterly Change in Receivables has ranged from -$62.33 million in fiscal Q4 2025 to $46.17 million in fiscal Q1 2026 over the past five years.
- Peak year-over-year performance for Change in Receivables in the last five years was growth of 334.2% in fiscal Q3 2023, against a decline of 73.6% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -$15.11 million (Q4 2026), $35.57 million (Q3 2026) and -$49.13 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn | -270.00 Mn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn | 59.00 Mn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn | -28.00 Mn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn | -236.00 Mn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn | 19.60 Mn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn | 7.00 Mn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn | -198,000.00 |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | -11.00 Mn |
| 10 | Interparfums | 3.69 Bn | 3.49 Bn | 223.53 Mn | -29.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -198,000.00 |
| Mar 31, 2026 | -15.11 Mn |
| Dec 31, 2025 | 35.57 Mn |
| Sep 30, 2025 | -49.13 Mn |
| Jun 30, 2025 | 46.17 Mn |
| Mar 31, 2025 | -62.33 Mn |
| Dec 31, 2024 | 43.85 Mn |
| Sep 30, 2024 | -10.59 Mn |
| Jun 30, 2024 | 31.82 Mn |
| Mar 31, 2024 | 3.72 Mn |
| Dec 31, 2023 | 27.07 Mn |
| Sep 30, 2023 | -3.80 Mn |
| Jun 30, 2023 | 22.62 Mn |
| Mar 31, 2023 | 1.81 Mn |
| Dec 31, 2022 | 12.32 Mn |
| Sep 30, 2022 | 1.57 Mn |
| Jun 30, 2022 | 6.73 Mn |
| Mar 31, 2022 | -1.61 Mn |
| Dec 31, 2021 | 2.84 Mn |
| Sep 30, 2021 | 1.40 Mn |
e.l.f. Beauty Change in 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=change-in-receivables&ticker=ELF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-receivables&ticker=ELF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();