Par Technology (PAR) Exchange Rate Effect (2011 - 2026)
Par Technology (PAR) reported Exchange Rate Effect of -$770,000 for Q2 2026, compared with $1.02 million a year earlier.
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Analysis
Par Technology (PAR) Exchange Rate Effect (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Par Technology's Exchange Rate Effect came in at -$3.03 million; for FY2025, it was $136,000, down 84.1% from FY2024.
- Exchange Rate Effect has a five-year compound annual growth rate of -35.7% (FY2020 to FY2025).
- By year, Exchange Rate Effect came in at $857,000 in FY2024, -$3.52 million in FY2023, $1.46 million in FY2022 (+435.2%) and $273,000 in FY2021 (-78.0%).
- Five-year quarterly Exchange Rate Effect spans a low of -$3.01 million in Q4 2023 and a high of $2.4 million in Q3 2023.
- The high point for year-over-year Exchange Rate Effect in five years was Q3 2022 (growth of 759.3%); the low point was Q3 2021 (a decline of 85.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | -299,000.00 |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | -1.92 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | -3.57 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | -3.30 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | -2.61 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | -1.00 Mn |
| 10 | Par Technology | 564.19 Mn | 235.29 Mn | 56.58 Mn | -770,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -770,000.00 |
| Mar 31, 2026 | -1.10 Mn |
| Sep 30, 2025 | -1.16 Mn |
| Jun 30, 2025 | 1.02 Mn |
| Mar 31, 2025 | 278,000.00 |
| Dec 31, 2024 | -76,000.00 |
| Sep 30, 2024 | 1.07 Mn |
| Jun 30, 2024 | -611,000.00 |
| Mar 31, 2024 | 479,000.00 |
| Dec 31, 2023 | -3.01 Mn |
| Sep 30, 2023 | 2.40 Mn |
| Jun 30, 2023 | -2.39 Mn |
| Mar 31, 2023 | -512,000.00 |
| Dec 31, 2022 | 486,000.00 |
| Sep 30, 2022 | 464,000.00 |
| Jun 30, 2022 | 54,000.00 |
| Mar 31, 2022 | 457,000.00 |
| Dec 31, 2021 | 275,000.00 |
| Sep 30, 2021 | 54,000.00 |
| Jun 30, 2021 | 289,000.00 |
API Access
Par Technology 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=PAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "PAR", "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=PAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();