Xpel (XPEL) Cash from Operations (2018 - 2026)
Xpel's Cash from Operations came in at $30.79 million for Q2 2026, up 10.4% from $27.89 million a year earlier and up 317.3% from the prior quarter.
Powered by 
Analysis
Xpel (XPEL) Cash from Operations (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Xpel reported Cash from Operations of $73.99 million, up 29.8% year-over-year; for FY2025, it came in at $66.94 million, up 40.0% from FY2024.
- Cash from Operations has increased in each of the last three years, with a five-year compound annual growth rate of 29.4% (FY2020 to FY2025).
- Going back by year, Cash from Operations was $47.82 million in FY2024 (+27.9%), $37.38 million in FY2023 (+210.1%), $12.06 million in FY2022 (-34.0%) and $18.27 million in FY2021 (-1.1%).
- The five-year range for quarterly Cash from Operations is -$4.96 million (Q1 2024) to $33.15 million (Q3 2025).
- Year-over-year, Cash from Operations increased in five of the last six quarters, with growth averaging 38.4%.
- The fastest year-over-year change in Cash from Operations over five years came in Q1 2026 (growth of 128.6%), and the weakest in Q2 2022 (a decline of 82.4%).
- Business Quant data shows XPEL's Cash from Operations at $7.38 million (Q1 2026), $2.67 million (Q4 2025) and $33.15 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn | 4.70 Bn |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn | 3.37 Bn |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn | 507.14 Mn |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn | 1.84 Bn |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn | 6.35 Bn |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn | 4.35 Bn |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn | -487.00 Mn |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn | 954.00 Mn |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn | -2.91 Bn |
| 10 | Xpel | 1.24 Bn | 1.05 Bn | 63.14 Mn | 30.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.79 Mn |
| Mar 31, 2026 | 7.38 Mn |
| Dec 31, 2025 | 2.67 Mn |
| Sep 30, 2025 | 33.15 Mn |
| Jun 30, 2025 | 27.89 Mn |
| Mar 31, 2025 | 3.23 Mn |
| Dec 31, 2024 | 6.33 Mn |
| Sep 30, 2024 | 19.56 Mn |
| Jun 30, 2024 | 26.90 Mn |
| Mar 31, 2024 | -4.96 Mn |
| Dec 31, 2023 | -1.12 Mn |
| Sep 30, 2023 | 11.13 Mn |
| Jun 30, 2023 | 26.68 Mn |
| Mar 31, 2023 | 695,000.00 |
| Dec 31, 2022 | 2.36 Mn |
| Sep 30, 2022 | 12.22 Mn |
| Jun 30, 2022 | 1.78 Mn |
| Mar 31, 2022 | -4.31 Mn |
| Dec 31, 2021 | -1.91 Mn |
| Sep 30, 2021 | 1.10 Mn |
API Access
Xpel Cash from Operations 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=cash-from-operations&ticker=XPEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=XPEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();