Xpel (XPEL) Depreciation and Depletion (2018 - 2026)
Xpel's Depreciation and Depletion came in at $1.8 million for Q2 2026, up 12.5% from $1.6 million a year earlier and up 10.9% from the prior quarter.
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Analysis
Xpel (XPEL) Depreciation and Depletion (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Xpel reported Depreciation and Depletion of $6.59 million, up 7.2% year-over-year; for FY2025, it came in at $6.3 million, up 8.2% from FY2024.
- Depreciation and Depletion has increased in each of the last seven years, with a five-year compound annual growth rate of 37.1% (FY2020 to FY2025).
- Going back by year, Depreciation and Depletion was $5.82 million in FY2024 (+28.4%), $4.53 million in FY2023 (+32.1%), $3.43 million in FY2022 (+80.7%) and $1.9 million in FY2021 (+46.2%).
- The Q2 2026 figure represents the highest quarterly Depreciation and Depletion in data going back to Q2 2018.
- Year-over-year, Depreciation and Depletion has increased for 29 consecutive quarters, with growth averaging 11.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Depreciation and Depletion ran from 3.6% in Q4 2025 to 108.8% in Q1 2022.
- Business Quant data shows XPEL's Depreciation and Depletion at $1.62 million (Q1 2026), $1.57 million (Q4 2025) and $1.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn | 1.37 Bn |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn | - |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn | 24.66 Mn |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn | - |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn | 1.30 Bn |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn | 1.87 Bn |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn | 227.00 Mn |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn | - |
| 10 | Xpel | 1.24 Bn | 1.05 Bn | 63.14 Mn | 1.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.80 Mn |
| Mar 31, 2026 | 1.62 Mn |
| Dec 31, 2025 | 1.57 Mn |
| Sep 30, 2025 | 1.60 Mn |
| Jun 30, 2025 | 1.60 Mn |
| Mar 31, 2025 | 1.54 Mn |
| Dec 31, 2024 | 1.51 Mn |
| Sep 30, 2024 | 1.50 Mn |
| Jun 30, 2024 | 1.50 Mn |
| Mar 31, 2024 | 1.33 Mn |
| Dec 31, 2023 | 1.31 Mn |
| Sep 30, 2023 | 1.20 Mn |
| Jun 30, 2023 | 1.10 Mn |
| Mar 31, 2023 | 1.00 Mn |
| Dec 31, 2022 | 933,000.00 |
| Sep 30, 2022 | 900,000.00 |
| Jun 30, 2022 | 800,000.00 |
| Mar 31, 2022 | 800,000.00 |
| Dec 31, 2021 | 600,000.00 |
| Sep 30, 2021 | 500,000.00 |
API Access
Xpel 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=XPEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "XPEL", "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=XPEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();