Pony (PNYG) Other Accumulated Expenses (2019 - 2026)
Pony's (PNYG) quarterly Other Accumulated Expenses came in at $225280.0 in Q2 2026, up 199.26% year-over-year from $75280.0 in Q2 2025, and up 18.23% quarter-over-quarter from $190543.0 in Q1 2026.
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Pony (PNYG) Other Accumulated Expenses (2019 - 2026) Analysis & Trends
Pony (PNYG) has reported Other Accumulated Expenses for 8 consecutive years, with $225280.0 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Other Accumulated Expenses rose 199.26% year-over-year to $225280.0 in Q2 2026; TTM through Jun 2026 was $225280.0, a 199.26% increase from a year earlier, with the FY2025 full-year figure at $178834.0, up 241.03% from the prior year.
- Other Accumulated Expenses was $225280.0 for Q2 2026 at Pony, up from $190543.0 in the prior quarter.
- Over five years, Other Accumulated Expenses peaked at $225280.0 in Q2 2026 and troughed at $7011.0 in Q3 2022.
- A 5-year average of $77439.8 and a median of $56690.5 in 2022 frame the typical range for Other Accumulated Expenses.
- The widest YoY moves for Other Accumulated Expenses: up 477.1% in 2022, down 91.26% in 2022.
- Over 5 years, Other Accumulated Expenses stood at $58317.0 in 2022, then retreated by 11.43% to $51649.0 in 2023, then rose by 1.53% to $52439.0 in 2024, then jumped by 241.03% to $178834.0 in 2025, then grew by 25.97% to $225280.0 in 2026.
- The last three Other Accumulated Expenses figures came in at $225280.0 (Q2 2026), $190543.0 (Q1 2026), and $178834.0 (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Uber Technologies | 143.82 Bn | 138.61 Bn | 6.38 Bn |
| 2 | DoorDash | 83.59 Bn | 78.26 Bn | 2.35 Bn |
| 3 | Grab Holdings | 11.46 Bn | 7.73 Bn | 435.00 Mn |
| 4 | Lyft | 5.72 Bn | 3.92 Bn | 917.12 Mn |
| 5 | Marti Technologies | 172.09 Mn | 159.58 Mn | 15.30 Mn |
| 6 | Ryde | 90.02 Mn | 90.02 Mn | - |
| 7 | Swvl Holdings | 42.55 Mn | 35.16 Mn | - |
| 8 | Scientific Energy | 7.90 Mn | -601,872.18 | 7.63 Mn |
| 9 | Pony | 689,999.98 | 680,158.98 | 3,440.00 |
| 10 | Freight Technologies | 71,357.58 | -275,360.42 | 373,200.00 |
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();