Geo (GEO) Exchange Rate Effect (2009 - 2026)
Geo (GEO) posted Exchange Rate Effect of $527,000 for Q2 2026, down 83.0% from $3.09 million a year earlier and down 53.1% from the prior quarter.
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Analysis
Geo (GEO) Exchange Rate Effect (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Exchange Rate Effect at Geo was $3.01 million; for FY2025, it came in at $5.14 million.
- Annual Exchange Rate Effect shows a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- In prior years, Geo's Exchange Rate Effect was -$5.63 million in FY2024, -$256,000 in FY2023, -$4.75 million in FY2022 and -$3.69 million in FY2021.
- Quarterly Exchange Rate Effect has run from a low of -$6.94 million in Q2 2022 to a high of $3.33 million in Q4 2022 over five years.
- On a year-over-year basis, Exchange Rate Effect increased in two of the last four quarters, with growth averaging 0.9%.
- According to Business Quant data, Exchange Rate Effect for the three prior quarters was $1.12 million (Q1 2026), $999,000 (Q4 2025) and $364,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 146.43 Bn | 105.71 Bn | 6.13 Bn | -47.45 Mn |
| 2 | Cintas | 86.79 Bn | 85.87 Bn | 1.55 Bn | -215,000.00 |
| 3 | Iron Mountain | 33.63 Bn | 32.82 Bn | 1.07 Bn | 6.96 Mn |
| 4 | APi | 17.31 Bn | 14.35 Bn | 703.00 Mn | -2.00 Mn |
| 5 | Rollins | 16.03 Bn | 15.57 Bn | 569.95 Mn | 208,000.00 |
| 6 | UL Solutions | 14.80 Bn | 13.55 Bn | 417.00 Mn | -1.00 Mn |
| 7 | Aramark | 14.78 Bn | 12.73 Bn | 430.34 Mn | -1.12 Mn |
| 8 | Gartner | 14.60 Bn | 8.29 Bn | 1.19 Bn | -10.62 Mn |
| 9 | Rentokil Initial | 10.70 Bn | 4.21 Bn | - | - |
| 10 | Geo | 3.66 Bn | 3.27 Bn | - | 527,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 527,000.00 |
| Mar 31, 2026 | 1.12 Mn |
| Dec 31, 2025 | 999,000.00 |
| Sep 30, 2025 | 364,000.00 |
| Jun 30, 2025 | 3.09 Mn |
| Mar 31, 2025 | 679,000.00 |
| Dec 31, 2024 | -6.77 Mn |
| Sep 30, 2024 | 2.65 Mn |
| Jun 30, 2024 | 1.49 Mn |
| Mar 31, 2024 | -3.00 Mn |
| Dec 31, 2023 | 2.86 Mn |
| Sep 30, 2023 | -1.07 Mn |
| Jun 30, 2023 | -764,000.00 |
| Mar 31, 2023 | -1.29 Mn |
| Dec 31, 2022 | 3.33 Mn |
| Sep 30, 2022 | -3.75 Mn |
| Jun 30, 2022 | -6.94 Mn |
| Mar 31, 2022 | 2.61 Mn |
| Dec 31, 2021 | 96,000.00 |
| Sep 30, 2021 | -3.34 Mn |
API Access
Geo 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=GEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "GEO", "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=GEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();