Planet Image International (YIBO) Receivables (2022 - 2026)
Planet Image International's Receivables came in at $56.15 million for the quarter ended Jun 30, 2026, up 51.0% from $37.2 million a year earlier.
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Analysis
Planet Image International (YIBO) Receivables (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, Planet Image International's Receivables was $51.44 million, up 60.6% from the prior year.
- Receivables has increased in each of the last three years, with a three-year compound annual growth rate of 25.1% (years ended Dec 2022 to Dec 2025).
- Going back by year, Receivables was $32.03 million in the year ended Dec 31, 2024 (+2.3%), $31.3 million in the year ended Dec 31, 2023 (+19.1%) and $26.29 million in the year ended Dec 31, 2022.
- Year-over-year, Receivables increased in three of the last four quarters, with growth averaging 28.3%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.78 Bn | 107.06 Bn | 6.13 Bn | 18.08 Bn |
| 2 | Cintas | 87.70 Bn | 86.78 Bn | 1.55 Bn | 1.59 Bn |
| 3 | Iron Mountain | 34.02 Bn | 33.21 Bn | 1.07 Bn | 1.49 Bn |
| 4 | APi | 17.48 Bn | 14.52 Bn | 703.00 Mn | 2.34 Bn |
| 5 | Rollins | 16.12 Bn | 15.66 Bn | 569.95 Mn | 238.99 Mn |
| 6 | UL Solutions | 15.13 Bn | 13.89 Bn | 417.00 Mn | 710.00 Mn |
| 7 | Gartner | 14.69 Bn | 8.38 Bn | 1.19 Bn | 1.20 Bn |
| 8 | Aramark | 14.68 Bn | 12.62 Bn | 430.34 Mn | 2.58 Bn |
| 9 | Rentokil Initial | 10.68 Bn | 4.20 Bn | - | - |
| 10 | Planet Image International | 56.98 Mn | -131.76 Mn | - | 56.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.15 Mn |
| Dec 31, 2025 | 51.44 Mn |
| Jun 30, 2025 | 37.20 Mn |
| Dec 31, 2024 | 32.03 Mn |
| Jun 30, 2024 | 37.44 Mn |
| Dec 31, 2023 | 31.30 Mn |
| Dec 31, 2022 | 26.29 Mn |
API Access
Planet Image International Receivables 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=receivables&ticker=YIBO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "YIBO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=receivables&ticker=YIBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();