Pony (PNYG) Change in Accured Expenses (2021 - 2026)
Pony's (PNYG) quarterly Change in Accured Expenses came in at $34737.0 in Q2 2026, up 798.29% year-over-year from $3867.0 in Q2 2025, and up 196.67% quarter-over-quarter from $11709.0 in Q1 2026.
Pony (PNYG) Change in Accured Expenses (2021 - 2026) Analysis & Trends
Pony (PNYG) has reported Change in Accured Expenses for 6 consecutive years, with $34737.0 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Change in Accured Expenses rose 798.29% year-over-year to $34737.0 in Q2 2026; TTM through Jun 2026 was $150000.0, a 393.29% increase from a year earlier, with the FY2025 full-year figure at $126395.0, up 15899.37% from the prior year.
- Change in Accured Expenses was $34737.0 for Q2 2026 at Pony, up from $11709.0 in the prior quarter.
- Over five years, Change in Accured Expenses peaked at $99352.0 in Q4 2025 and troughed at -$69613.0 in Q2 2022.
- A 5-year average of $7849.3 and a median of $1024.5 in 2024 frame the typical range for Change in Accured Expenses.
- Across the five-year window, Change in Accured Expenses plunged 1344.33% in 2022 and soared 3884.84% in 2025, its largest moves.
- Over 5 years, Change in Accured Expenses stood at $70244.0 in 2022, then tumbled by 129.36% to -$20621.0 in 2023, then jumped by 87.27% to -$2625.0 in 2024, then soared by 3884.84% to $99352.0 in 2025, then sank by 65.04% to $34737.0 in 2026.
- The last three Change in Accured Expenses figures came in at $34737.0 (Q2 2026), $11709.0 (Q1 2026), and $99352.0 (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Accured Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Uber Technologies | 143.82 Bn | 138.61 Bn | 6.38 Bn | 447.00 Mn |
| 2 | DoorDash | 83.59 Bn | 78.26 Bn | 2.35 Bn | 111.00 Mn |
| 3 | Grab Holdings | 11.46 Bn | 7.73 Bn | 435.00 Mn | - |
| 4 | Lyft | 5.72 Bn | 3.92 Bn | 917.12 Mn | 160.83 Mn |
| 5 | Marti Technologies | 172.09 Mn | 159.58 Mn | 15.30 Mn | -55,570.00 |
| 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 | 109,868.00 |
| 9 | Pony | 689,999.98 | 680,158.98 | 3,440.00 | 34,737.00 |
| 10 | Freight Technologies | 71,357.58 | -275,360.42 | 373,200.00 | 332,615.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34,737.00 |
| Mar 31, 2026 | 11,709.00 |
| Dec 31, 2025 | 99,352.00 |
| Sep 30, 2025 | 4,202.00 |
| Jun 30, 2025 | 3,867.00 |
| Mar 31, 2025 | 18,974.00 |
| Dec 31, 2024 | -2,625.00 |
| Sep 30, 2024 | 10,192.00 |
| Jun 30, 2024 | -1,818.00 |
| Mar 31, 2024 | -4,959.00 |
| Dec 31, 2023 | -20,621.00 |
| Sep 30, 2023 | -16,202.00 |
| Jun 30, 2023 | -20,923.00 |
| Mar 31, 2023 | 51,078.00 |
| Dec 31, 2022 | 70,244.00 |
| Sep 30, 2022 | -16,226.00 |
| Jun 30, 2022 | -69,613.00 |
| Mar 31, 2022 | -10,080.00 |
| Dec 31, 2021 | 22,703.00 |
| Sep 30, 2021 | 1,304.00 |
Pony Change in Accured 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=change-in-accured-expenses&ticker=PNYG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=PNYG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();