Pony (PNYG) Other Accumulated Expenses (2019 - 2026)
Pony (PNYG) reported Other Accumulated Expenses of $225,280 for Q2 2026, up 199.3% from $75,280 a year earlier and up 18.2% from the prior quarter.
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Analysis
Pony (PNYG) Other Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025, Pony posted Other Accumulated Expenses of $178,834, up 241.0% from FY2024.
- Other Accumulated Expenses has a five-year compound annual growth rate of 45.0% (FY2020 to FY2025).
- By year, Other Accumulated Expenses came in at $52,439 in FY2024 (+1.5%), $51,649 in FY2023 (-11.4%), $58,317 in FY2022 (-43.3%) and $102,930 in FY2021 (+269.0%).
- The Q2 2026 figure ranks as the highest quarterly Other Accumulated Expenses in data going back to Q4 2019.
- Year over year, Other Accumulated Expenses has now increased in each of the last eight quarters, with growth averaging 107.8% over the last eight quarters.
- The high point for year-over-year Other Accumulated Expenses in five years was Q1 2022 (growth of 477.1%); the low point was Q3 2022 (a decline of 91.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $190,543 (Q1 2026), $178,834 (Q4 2025) and $79,482 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,893.85 Bn | 3,651.37 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,633.93 Bn | 1,336.45 Bn | 49.47 Bn |
| 3 | Netflix | 271.96 Bn | 233.26 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 231.45 Bn | 45.22 Bn | 15.11 Bn |
| 5 | Shopify | 218.36 Bn | 195.54 Bn | 1.71 Bn |
| 6 | Uber Technologies | 135.44 Bn | 107.24 Bn | 6.38 Bn |
| 7 | Booking Holdings | 119.78 Bn | 52.83 Bn | - |
| 8 | Spotify Technology | 119.39 Bn | 76.31 Bn | 1.89 Bn |
| 9 | PDD Holdings | 110.49 Bn | -133.29 Bn | 9.45 Bn |
| 10 | Pony | 689,999.98 | 654,026.98 | 3,440.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 225,280.00 |
| Mar 31, 2026 | 190,543.00 |
| Dec 31, 2025 | 178,834.00 |
| Sep 30, 2025 | 79,482.00 |
| Jun 30, 2025 | 75,280.00 |
| Mar 31, 2025 | 71,413.00 |
| Dec 31, 2024 | 52,439.00 |
| Sep 30, 2024 | 55,064.00 |
| Jun 30, 2024 | 44,872.00 |
| Mar 31, 2024 | 46,690.00 |
| Dec 31, 2023 | 51,649.00 |
| Sep 30, 2023 | 29,210.00 |
| Jun 30, 2023 | 45,412.00 |
| Mar 31, 2023 | 66,334.00 |
| Dec 31, 2022 | 58,317.00 |
| Sep 30, 2022 | 7,011.00 |
| Jun 30, 2022 | 23,237.00 |
| Mar 31, 2022 | 92,850.00 |
| Dec 31, 2021 | 102,930.00 |
| Sep 30, 2021 | 80,227.00 |
API Access
Pony 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=PNYG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "PNYG", "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=PNYG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();