e.l.f. Beauty (ELF) Depreciation and Depletion (2015 - 2026)
e.l.f. Beauty's Depreciation and Depletion came in at $10.7 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 40.8% from $7.6 million a year earlier but down 6.1% from the prior quarter.
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Analysis
e.l.f. Beauty (ELF) Depreciation and Depletion (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, e.l.f. Beauty reported Depreciation and Depletion of $46.3 million, up 76.7% year-over-year; for FY2026 (ended Mar 31, 2026), it was $35 million, up 57.0% from FY2025.
- Depreciation and Depletion has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 46.4% (FY2021 to FY2026).
- Going back by fiscal year, Depreciation and Depletion was $22.3 million in FY2025 (+95.6%), $11.4 million in FY2024 (+119.2%), $5.2 million in FY2023 (-11.9%) and $5.9 million in FY2022 (+13.5%).
- The five-year range for quarterly Depreciation and Depletion is $3.7 million (fiscal Q1 2025) to $16.4 million (fiscal Q3 2026).
- Year-over-year, Depreciation and Depletion has increased for five consecutive quarters, with growth averaging 84.6% over the last five quarters.
- Business Quant data shows ELF's Depreciation and Depletion at $11.4 million (Q4 2026), $16.4 million (Q3 2026) and $7.8 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | - |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | - |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | 79.00 Mn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | - |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 22.00 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | - |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | 10.70 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | - |
| 10 | Interparfums | 3.55 Bn | 3.36 Bn | 223.53 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.70 Mn |
| Mar 31, 2026 | 11.40 Mn |
| Dec 31, 2025 | 16.40 Mn |
| Sep 30, 2025 | 7.80 Mn |
| Jun 30, 2025 | 7.60 Mn |
| Mar 31, 2025 | 7.60 Mn |
| Dec 31, 2024 | 6.20 Mn |
| Sep 30, 2024 | 4.80 Mn |
| Jun 30, 2024 | 3.70 Mn |
| Dec 31, 2017 | -4.52 Mn |
| Sep 30, 2017 | 1.59 Mn |
| Jun 30, 2017 | 1.73 Mn |
| Mar 31, 2017 | 1.80 Mn |
| Dec 31, 2016 | 1.50 Mn |
| Sep 30, 2016 | 1.28 Mn |
| Jun 30, 2016 | 1.18 Mn |
| Mar 31, 2016 | 912,000.00 |
| Dec 31, 2015 | 828,000.00 |
API Access
e.l.f. Beauty Depreciation and Depletion 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=depreciation-and-depletion&ticker=ELF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=ELF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();