Adt (ADT) Exchange Rate Effect (2017 - 2019)
Adt's Exchange Rate Effect was $17,000 in Q4 2019, compared with -$1.58 million a year earlier and down 41.4% from the prior quarter.
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Analysis
Adt (ADT) Exchange Rate Effect (2017 - 2019) Analysis & Trends
For FY2019, Exchange Rate Effect at Adt came in at $838,000.
- In earlier years, Exchange Rate Effect was -$2.02 million in FY2018, $338,000 in FY2017 and -$1.3 million in FY2016.
- Quarterly Exchange Rate Effect has moved between -$1.58 million (Q4 2018) and $663,000 (Q1 2019) over five years.
- Per Business Quant data, ADT's Exchange Rate Effect in the three quarters before Q4 2019 was $29,000 (Q3 2019), $129,000 (Q2 2019) and $663,000 (Q1 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 158.58 Bn | 117.87 Bn | 6.13 Bn | -47.45 Mn |
| 2 | Cintas | 88.02 Bn | 87.11 Bn | 1.55 Bn | -215,000.00 |
| 3 | Iron Mountain | 34.52 Bn | 33.72 Bn | 1.07 Bn | 6.96 Mn |
| 4 | APi | 19.01 Bn | 16.23 Bn | 770.00 Mn | -1.00 Mn |
| 5 | Rollins | 16.56 Bn | 16.10 Bn | 582.90 Mn | -92,000.00 |
| 6 | Gartner | 15.19 Bn | 8.88 Bn | 1.19 Bn | -10.62 Mn |
| 7 | UL Solutions | 15.05 Bn | 13.81 Bn | 417.00 Mn | -1.00 Mn |
| 8 | Aramark | 14.11 Bn | 12.06 Bn | 430.34 Mn | -1.12 Mn |
| 9 | Rentokil Initial | 11.75 Bn | 5.26 Bn | - | - |
| 10 | Adt | 7.51 Bn | 7.24 Bn | 1.05 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 17,000.00 |
| Sep 30, 2019 | 29,000.00 |
| Jun 30, 2019 | 129,000.00 |
| Mar 31, 2019 | 663,000.00 |
| Dec 31, 2018 | -1.58 Mn |
| Sep 30, 2018 | 195,000.00 |
| Jun 30, 2018 | -249,000.00 |
| Mar 31, 2018 | -387,000.00 |
| Dec 31, 2017 | 277,000.00 |
| Sep 30, 2017 | 19,000.00 |
| Jun 30, 2017 | 18,000.00 |
| Mar 31, 2017 | 24,000.00 |
API Access
Adt 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=ADT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "ADT", "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=ADT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();