Array Technologies (ARRY) Price to Book (2021 - 2024)
Array Technologies' (ARRY) Price to Book came in at 15.55 for Q3 2024, up 6.3% from 14.63 a year earlier and up 99.5% from the prior quarter.
Analysis
Array Technologies (ARRY) Price to Book (2021 - 2024) Analysis & Trends
For FY2023, Array Technologies' Price to Book stood at 9.80, down 58.2% from FY2022.
- In prior years, Array Technologies' Price to Book was 23.45 in FY2022.
- The Q3 2024 figure stands as the highest quarterly Price to Book since Q1 2023.
- On a year-over-year basis, Price to Book increased in two of the last seven quarters, with an average decline of 11.4%.
- The strongest year-over-year quarter for Price to Book in the past five years was Q1 2023, with growth of 110.2%; the weakest was Q3 2022, with a decline of 98.7%.
- According to Business Quant data, Price to Book for the three prior quarters was 7.80 (Q2 2024), 9.79 (Q1 2024) and 9.80 (Q4 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | GE Vernova | 252.99 Bn | 214.06 Bn | 2.36 Bn |
| 2 | Bloom Energy | 81.25 Bn | 73.07 Bn | 355.57 Mn |
| 3 | First Solar | 18.82 Bn | 9.78 Bn | 605.00 Mn |
| 4 | BWX Technologies | 12.55 Bn | 10.85 Bn | 202.31 Mn |
| 5 | Generac Holdings | 12.21 Bn | 11.04 Bn | 521.81 Mn |
| 6 | Nextpower | 11.82 Bn | 7.71 Bn | 335.85 Mn |
| 7 | EnerSys | 6.67 Bn | 4.86 Bn | 313.36 Mn |
| 8 | Enphase Energy | 4.36 Bn | -500.13 Mn | 175.01 Mn |
| 9 | Mirion Technologies | 3.45 Bn | 1.34 Bn | 133.10 Mn |
| 10 | Array Technologies | 620.65 Mn | -353.26 Mn | 99.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 15.55 |
| Jun 30, 2024 | 7.80 |
| Mar 31, 2024 | 9.79 |
| Dec 31, 2023 | 9.80 |
| Sep 30, 2023 | 14.63 |
| Jun 30, 2023 | 14.32 |
| Mar 31, 2023 | 20.90 |
| Dec 31, 2022 | 23.45 |
| Sep 30, 2022 | 22.39 |
| Jun 30, 2022 | 15.00 |
| Mar 31, 2022 | 9.94 |
| Sep 30, 2021 | 1,708.13 |
API Access
Array Technologies Price to Book 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=price-to-book&ticker=ARRY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "ARRY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=price-to-book&ticker=ARRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();