Mind Cti (MNDO) Exchange Rate Effect (2020 - 2026)
Mind Cti (MNDO) recorded Exchange Rate Effect of $3.08 million in Q2 2026, up 12.0% from $2.75 million a year earlier.
Mind Cti (MNDO) Exchange Rate Effect (2020 - 2026) Analysis & Trends
On a TTM basis, Mind Cti's Exchange Rate Effect came in at $18.4 million as of Jun 30, 2026, up 42.7% year-over-year; for FY2025, it was $36,000.
- Annual Exchange Rate Effect has a five-year compound annual growth rate of -16.9% (FY2020 to FY2025).
- Across earlier years, Exchange Rate Effect came in at -$43,000 in FY2024, -$27,000 in FY2023, -$77,000 in FY2022 and -$90,000 in FY2021.
- Quarterly Exchange Rate Effect has ranged from -$6.61 million in Q4 2021 to $8.12 million in Q4 2025 over the past five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 292,000.00 |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 11.00 Mn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -43.01 Mn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | -75.00 Mn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -24.10 Mn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | -11.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -518,000.00 |
| 10 | Mind Cti | 20.37 Mn | -10.69 Mn | 2.55 Mn | 3.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.08 Mn |
| Dec 31, 2025 | 8.12 Mn |
| Jun 30, 2025 | 2.75 Mn |
| Dec 31, 2024 | 4.45 Mn |
| Sep 30, 2024 | 2.73 Mn |
| Dec 31, 2023 | 2.96 Mn |
| Sep 30, 2023 | 2.58 Mn |
| Dec 31, 2022 | -3.74 Mn |
| Sep 30, 2022 | 3.66 Mn |
| Dec 31, 2021 | -6.61 Mn |
| Sep 30, 2021 | 6.52 Mn |
| Dec 31, 2020 | -7.87 Mn |
| Sep 30, 2020 | 7.96 Mn |
Mind Cti 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=MNDO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "MNDO", "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=MNDO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();