Planet Image International (YIBO) Accumulated Expenses (2022 - 2026)
Planet Image International (YIBO) posted Accumulated Expenses of $5.94 million for the quarter ended Jun 30, 2026, down 40.3% from $9.95 million a year earlier.
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Analysis
Planet Image International (YIBO) Accumulated Expenses (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, Planet Image International's Accumulated Expenses came in at $11.68 million, down 11.8% from the prior year.
- Annual Accumulated Expenses shows a three-year compound annual growth rate of -3.9% (years ended Dec 2022 to Dec 2025).
- In prior years, Planet Image International's Accumulated Expenses was $13.24 million in the year ended Dec 31, 2024 (-10.0%), $14.71 million in the year ended Dec 31, 2023 (+11.8%) and $13.15 million in the year ended Dec 31, 2022.
- On a year-over-year basis, Accumulated Expenses increased in 1 of the last four quarters, with an average decline of 14.0%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 141.87 Bn | 102.28 Bn | 6.13 Bn |
| 2 | Cintas | 78.27 Bn | 77.46 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.11 Bn | 32.63 Bn | 1.07 Bn |
| 4 | APi | 17.29 Bn | 14.33 Bn | 703.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.27 Bn | 569.95 Mn |
| 6 | Aramark | 14.39 Bn | 12.40 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.43 Bn | 12.22 Bn | 417.00 Mn |
| 8 | Gartner | 12.17 Bn | 5.86 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.01 Bn | 3.35 Bn | - |
| 10 | Planet Image International | 59.25 Mn | -130.07 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.94 Mn |
| Dec 31, 2025 | 11.68 Mn |
| Jun 30, 2025 | 9.95 Mn |
| Dec 31, 2024 | 13.24 Mn |
| Jun 30, 2024 | 9.37 Mn |
| Dec 31, 2023 | 14.71 Mn |
| Dec 31, 2022 | 13.15 Mn |
API Access
Planet Image International 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=accumulated-expenses&ticker=YIBO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=YIBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();