Planet Image International (YIBO) Total Current Liabilities (2022 - 2026)
Planet Image International's Total Current Liabilities came in at $69.25 million for the quarter ended Jun 30, 2026, down 10.5% from $77.38 million a year earlier.
Planet Image International (YIBO) Total Current Liabilities (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, Planet Image International's Total Current Liabilities was $80.71 million, up 1.1% from the prior year.
- Total Current Liabilities carries a three-year compound annual growth rate of 1.3% (years ended Dec 2022 to Dec 2025).
- Going back by year, Total Current Liabilities was $79.86 million in the year ended Dec 31, 2024 (-3.0%), $82.37 million in the year ended Dec 31, 2023 (+6.1%) and $77.67 million in the year ended Dec 31, 2022.
- Year-over-year, Total Current Liabilities increased in 1 of the last four quarters, with an average decline of 5.4%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 21.61 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 2.69 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 2.90 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 2.54 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 938.10 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 3.00 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 866.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 3.66 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | -6.00 Mn |
| 10 | Planet Image International | 63.24 Mn | -126.08 Mn | - | 69.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69.25 Mn |
| Dec 31, 2025 | 80.71 Mn |
| Jun 30, 2025 | 77.38 Mn |
| Dec 31, 2024 | 79.86 Mn |
| Jun 30, 2024 | 85.04 Mn |
| Dec 31, 2023 | 82.37 Mn |
| Dec 31, 2022 | 77.67 Mn |
Planet Image International Total Current Liabilities 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=total-current-liabilities&ticker=YIBO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=YIBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();