Pony (PNYG) Exchange Rate Effect (2019 - 2026)
Pony's (PNYG) quarterly Exchange Rate Effect came in at -$5701.0 in Q2 2026, down 651.35% year-over-year from $1034.0 in Q2 2025, and down 442.44% quarter-over-quarter from -$1051.0 in Q1 2026.
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Analysis
Pony (PNYG) Exchange Rate Effect (2019 - 2026) Analysis & Trends
Pony (PNYG) has reported Exchange Rate Effect for 8 consecutive years, with -$5701.0 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Exchange Rate Effect fell 651.35% year-over-year to -$5701.0 in Q2 2026; TTM through Jun 2026 was -$11044.0, a 59.24% increase from a year earlier, with the FY2025 full-year figure at -$30594.0, down 548.07% from the prior year.
- Exchange Rate Effect was -$5701.0 for Q2 2026 at Pony, down from -$1051.0 in the prior quarter.
- Over five years, Exchange Rate Effect peaked at $16037.0 in Q2 2023 and troughed at -$27336.0 in Q1 2025.
- A 5-year average of -$2525.4 and a median of -$899.0 in 2023 frame the typical range for Exchange Rate Effect.
- Across the five-year window, Exchange Rate Effect jumped 785.65% in 2024 and plunged 651.35% in 2026, its largest moves.
- Over 5 years, Exchange Rate Effect stood at -$13218.0 in 2022, then increased by 15.88% to -$11119.0 in 2023, then surged by 179.42% to $8831.0 in 2024, then sank by 86.88% to $1159.0 in 2025, then plunged by 591.89% to -$5701.0 in 2026.
- The last three Exchange Rate Effect figures came in at -$5701.0 (Q2 2026), -$1051.0 (Q1 2026), and $1159.0 (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Exchange Rate Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Uber Technologies | 143.82 Bn | 138.61 Bn | 6.38 Bn | 54.00 Mn |
| 2 | DoorDash | 83.59 Bn | 78.26 Bn | 2.35 Bn | 4.00 Mn |
| 3 | Grab Holdings | 11.46 Bn | 7.73 Bn | 435.00 Mn | - |
| 4 | Lyft | 5.72 Bn | 3.92 Bn | 917.12 Mn | -2.95 Mn |
| 5 | Marti Technologies | 172.09 Mn | 159.58 Mn | 15.30 Mn | 7.74 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 | -27,995.00 |
| 9 | Pony | 689,999.98 | 680,158.98 | 3,440.00 | -5,701.00 |
| 10 | Freight Technologies | 71,357.58 | -275,360.42 | 373,200.00 | 163,844.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5,701.00 |
| Mar 31, 2026 | -1,051.00 |
| Dec 31, 2025 | 1,159.00 |
| Sep 30, 2025 | -5,451.00 |
| Jun 30, 2025 | 1,034.00 |
| Mar 31, 2025 | -27,336.00 |
| Dec 31, 2024 | 8,831.00 |
| Sep 30, 2024 | -9,624.00 |
| Jun 30, 2024 | 1,457.00 |
| Mar 31, 2024 | 6,164.00 |
| Dec 31, 2023 | -11,119.00 |
| Sep 30, 2023 | 1,836.00 |
| Jun 30, 2023 | 16,037.00 |
| Mar 31, 2023 | -899.00 |
| Dec 31, 2022 | -13,218.00 |
| Sep 30, 2021 | -142.00 |
| Jun 30, 2021 | -1,097.00 |
| Mar 31, 2021 | -1,758.00 |
| Dec 31, 2020 | -2,358.00 |
| Sep 30, 2020 | -2,023.00 |
API Access
Pony Exchange Rate Effect 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=exchange-rate-effect&ticker=PNYG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=PNYG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();