Planet Image International (YIBO) Other Accumulated Expenses (2022 - 2026)
Planet Image International's Other Accumulated Expenses was $2.23 million in the quarter ended Jun 30, 2026, compared with $105,000 a year earlier.
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Analysis
Planet Image International (YIBO) Other Accumulated Expenses (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, Other Accumulated Expenses at Planet Image International came in at $2.03 million.
- Other Accumulated Expenses shows a three-year compound annual growth rate of 17.1% (years ended Dec 2022 to Dec 2025).
- In earlier years, Other Accumulated Expenses was $155,000 in the year ended Dec 31, 2024 (-40.4%), $260,000 in the year ended Dec 31, 2023 (-79.5%) and $1.27 million in the year ended Dec 31, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - |
| 10 | Planet Image International | 59.82 Mn | -129.50 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.23 Mn |
| Dec 31, 2025 | 2.03 Mn |
| Jun 30, 2025 | 105,000.00 |
| Dec 31, 2024 | 155,000.00 |
| Jun 30, 2024 | 207,000.00 |
| Dec 31, 2023 | 260,000.00 |
| Dec 31, 2022 | 1.27 Mn |
API Access
Planet Image International Other Accumulated Expenses 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=other-accumulated-expenses&ticker=YIBO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=YIBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();