Xpel (XPEL) Depreciation & Amortization (CF) (2018 - 2026)
Xpel's Depreciation & Amortization (CF) 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.
Xpel (XPEL) Depreciation & Amortization (CF) (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Xpel reported Depreciation & Amortization (CF) of $6.59 million, up 7.2% year-over-year; for FY2025, it was $6.3 million, up 8.2% from FY2024.
- Depreciation & Amortization (CF) 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 & Amortization (CF) 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 & Amortization (CF) in data going back to Q2 2018.
- Year-over-year, Depreciation & Amortization (CF) has increased for 29 consecutive quarters, with growth averaging 11.4% over the last eight quarters.
- Over the past five years, the year-over-year growth in Depreciation & Amortization (CF) ranged from 3.6% (Q4 2025) to 108.8% (Q1 2022).
- Business Quant data shows XPEL's Depreciation & Amortization (CF) 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,146.25 Bn | 980.81 Bn | 4.75 Bn | 1.62 Bn |
| 2 | Toyota Motor | 244.39 Bn | -162.35 Bn | 20.95 Bn | 4.03 Bn |
| 3 | Ferrari | 143.73 Bn | 136.18 Bn | 1.18 Bn | 175.04 Mn |
| 4 | Honda Motor | 143.33 Bn | 10.71 Bn | 8.46 Bn | - |
| 5 | General Motors | 69.61 Bn | -35.26 Bn | 7.33 Bn | 1.30 Bn |
| 6 | Ford Motor | 48.10 Bn | -94.36 Bn | 6.08 Bn | 1.87 Bn |
| 7 | Rivian Automotive | 20.10 Bn | -3.19 Bn | 179.00 Mn | 237.00 Mn |
| 8 | Magna International | 18.07 Bn | 15.63 Bn | 1.61 Bn | - |
| 9 | Stellantis | 13.56 Bn | -152.44 Bn | 5.55 Bn | 1.85 Bn |
| 10 | Xpel | 1.23 Bn | 1.04 Bn | 63.14 Mn | 1.80 Mn |
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 |
Xpel Depreciation & Amortization (CF) 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-amortization-cf&ticker=XPEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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-amortization-cf&ticker=XPEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();