Information Services (III) Exchange Rate Effect (2010 - 2026)
Information Services' Exchange Rate Effect was -$57,000 in Q3 2026, compared with -$87,000 a year earlier.
Information Services (III) Exchange Rate Effect (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Information Services' Exchange Rate Effect was -$435,000 through Sep 30, 2026; for FY2025, it came in at $1.07 million.
- Exchange Rate Effect shows a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- In earlier years, Exchange Rate Effect was -$602,000 in FY2024, $498,000 in FY2023, -$2.27 million in FY2022 and -$1.71 million in FY2021.
- Quarterly Exchange Rate Effect has moved between -$2.29 million (Q2 2022) and $2.71 million (Q4 2022) over five years.
- Per Business Quant data, III's Exchange Rate Effect in the three quarters before Q3 2026 was -$99,000 (Q2 2026), -$289,000 (Q1 2026) and $10,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 153.56 Bn | 111.49 Bn | 5.98 Bn | -20.85 Mn |
| 2 | Cintas | 88.59 Bn | 87.67 Bn | 1.55 Bn | -215,000.00 |
| 3 | Iron Mountain | 33.27 Bn | 32.47 Bn | 1.06 Bn | 1.98 Mn |
| 4 | APi | 18.49 Bn | 15.70 Bn | 770.00 Mn | -1.00 Mn |
| 5 | Rollins | 18.05 Bn | 17.59 Bn | 582.90 Mn | -92,000.00 |
| 6 | UL Solutions | 16.33 Bn | 14.33 Bn | 423.00 Mn | -3.00 Mn |
| 7 | Aramark | 14.48 Bn | 12.43 Bn | 430.34 Mn | -1.12 Mn |
| 8 | Rentokil Initial | 11.94 Bn | 6.46 Bn | - | - |
| 9 | Gartner | 11.90 Bn | 5.39 Bn | 1.07 Bn | 7.14 Mn |
| 10 | Information Services | 290.11 Mn | 186.53 Mn | 28.55 Mn | -57,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -57,000.00 |
| Jun 30, 2026 | -99,000.00 |
| Mar 31, 2026 | -289,000.00 |
| Dec 31, 2025 | 10,000.00 |
| Sep 30, 2025 | -87,000.00 |
| Jun 30, 2025 | 771,000.00 |
| Mar 31, 2025 | 376,000.00 |
| Dec 31, 2024 | -760,000.00 |
| Sep 30, 2024 | 459,000.00 |
| Jun 30, 2024 | -24,000.00 |
| Mar 31, 2024 | -277,000.00 |
| Dec 31, 2023 | 763,000.00 |
| Sep 30, 2023 | -379,000.00 |
| Jun 30, 2023 | -73,000.00 |
| Mar 31, 2023 | 187,000.00 |
| Dec 31, 2022 | 2.71 Mn |
| Sep 30, 2022 | -2.16 Mn |
| Jun 30, 2022 | -2.29 Mn |
| Mar 31, 2022 | -536,000.00 |
| Dec 31, 2021 | -330,000.00 |
Information Services 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=III&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "III", "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=III&period=max&api_key=YOUR_API_KEY");
const data = await res.json();