Pony (PNYG) Operating Expenses (2019 - 2026)
Pony's Operating Expenses was $54,249 in Q2 2026, down 0.5% from $54,525 a year earlier and down 26.8% from the prior quarter.
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Analysis
Pony (PNYG) Operating Expenses (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Pony's Operating Expenses was $305,876 through Jun 30, 2026, up 38.5% year-over-year; for FY2025, it was $293,018, up 43.0% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 23.8% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $204,957 in FY2024 (-10.6%), $229,301 in FY2023 (-29.0%), $322,787 in FY2022 (+88.5%) and $171,276 in FY2021 (+70.0%).
- Quarterly Operating Expenses has moved between $14,542 (Q4 2022) and $141,207 (Q4 2025) over five years.
- Compared with a year earlier, Operating Expenses was higher in six of the last eight quarters, with growth averaging 34.1%.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2022 (growth of 424.3%); the worst was Q4 2022 (a decline of 73.0%).
- Per Business Quant data, PNYG's Operating Expenses in the three quarters before Q2 2026 was $74,121 (Q1 2026), $141,207 (Q4 2025) and $36,299 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,058.98 Bn | 3,816.51 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,799.17 Bn | 1,501.69 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 274.82 Bn | 235.02 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 242.13 Bn | 55.90 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 228.79 Bn | 205.97 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 138.72 Bn | 110.52 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 121.23 Bn | 54.28 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 110.00 Bn | -133.77 Bn | 9.45 Bn | -5.39 Bn |
| 9 | Spotify Technology | 107.15 Bn | 64.66 Bn | 1.86 Bn | 640.46 Mn |
| 10 | Pony | 689,999.98 | 654,026.98 | 3,440.00 | 54,249.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54,249.00 |
| Mar 31, 2026 | 74,121.00 |
| Dec 31, 2025 | 141,207.00 |
| Sep 30, 2025 | 36,299.00 |
| Jun 30, 2025 | 54,525.00 |
| Mar 31, 2025 | 60,987.00 |
| Dec 31, 2024 | 78,377.00 |
| Sep 30, 2024 | 26,984.00 |
| Jun 30, 2024 | 38,868.00 |
| Mar 31, 2024 | 60,728.00 |
| Dec 31, 2023 | 36,927.00 |
| Sep 30, 2023 | 31,965.00 |
| Jun 30, 2023 | 71,874.00 |
| Mar 31, 2023 | 88,535.00 |
| Dec 31, 2022 | 14,542.00 |
| Sep 30, 2022 | 52,865.00 |
| Jun 30, 2022 | 133,962.00 |
| Mar 31, 2022 | 121,418.00 |
| Dec 31, 2021 | 53,833.00 |
| Sep 30, 2021 | 38,638.00 |
API Access
Pony Operating 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=operating-expenses&ticker=PNYG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=PNYG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();