Xpel (XPEL) Accounts Payables (2018 - 2026)
Xpel (XPEL) reported Accounts Payables of $57.16 million for Q2 2026, up 46.7% from $38.96 million a year earlier but down 6.9% from the prior quarter.
Analysis
Xpel (XPEL) Accounts Payables (2018 - 2026) Analysis & Trends
At the end of FY2025, Xpel posted Accounts Payables of $54.29 million, up 50.2% from FY2024.
- Accounts Payables has increased for three consecutive years, with a five-year compound annual growth rate of 26.4% (FY2020 to FY2025).
- By year, Accounts Payables came in at $36.14 million in FY2024 (+11.4%), $32.44 million in FY2023 (+41.2%), $22.97 million in FY2022 (-30.2%) and $32.92 million in FY2021 (+96.0%).
- Five-year quarterly Accounts Payables spans a low of $20.54 million in Q1 2023 and a high of $61.37 million in Q1 2026.
- Year over year, Accounts Payables has now increased in each of the last seven quarters, with growth averaging 37.5% over the last eight quarters.
- The high point for year-over-year Accounts Payables in five years was Q1 2022 (growth of 98.3%); the low point was Q1 2023 (a decline of 51.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $61.37 million (Q1 2026), $54.29 million (Q4 2025) and $52.23 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 15.32 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 35.66 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 1.15 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | 10.31 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 28.84 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 27.01 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 889.00 Mn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | 7.26 Bn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 39.20 Bn |
| 10 | Xpel | 1.22 Bn | 1.03 Bn | 63.14 Mn | 57.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.16 Mn |
| Mar 31, 2026 | 61.37 Mn |
| Dec 31, 2025 | 54.29 Mn |
| Sep 30, 2025 | 52.23 Mn |
| Jun 30, 2025 | 38.96 Mn |
| Mar 31, 2025 | 34.38 Mn |
| Dec 31, 2024 | 36.14 Mn |
| Sep 30, 2024 | 31.63 Mn |
| Jun 30, 2024 | 26.24 Mn |
| Mar 31, 2024 | 27.61 Mn |
| Dec 31, 2023 | 32.44 Mn |
| Sep 30, 2023 | 42.06 Mn |
| Jun 30, 2023 | 31.19 Mn |
| Mar 31, 2023 | 20.54 Mn |
| Dec 31, 2022 | 22.97 Mn |
| Sep 30, 2022 | 28.05 Mn |
| Jun 30, 2022 | 36.59 Mn |
| Mar 31, 2022 | 42.36 Mn |
| Dec 31, 2021 | 32.92 Mn |
| Sep 30, 2021 | 31.65 Mn |
API Access
Xpel Accounts Payables 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=accounts-payables&ticker=XPEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=XPEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();