Array Digital Infrastructure (AD) Cash & Equivalents (2009 - 2026)
Array Digital Infrastructure (AD) reported Cash & Equivalents of $416.44 million for Q2 2026, up 7.9% from $386 million a year earlier and up 64.2% from the prior quarter.
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Analysis
Array Digital Infrastructure (AD) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Array Digital Infrastructure posted Cash & Equivalents of $113.4 million, down 21.1% from FY2024.
- Cash & Equivalents has declined for three consecutive years, with a five-year compound annual growth rate of -38.3% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $143.73 million in FY2024 (-4.2%), $150 million in FY2023 (-45.1%), $273 million in FY2022 (+75.0%) and $156 million in FY2021 (-87.7%).
- The Q2 2026 figure ranks as the highest quarterly Cash & Equivalents since Q1 2021.
- Year over year, Cash & Equivalents gained in five of the last eight quarters, with growth averaging 27.0%.
- The high point for year-over-year Cash & Equivalents in five years was Q2 2025 (growth of 97.9%); the low point was Q4 2021 (a decline of 87.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $253.64 million (Q1 2026), $113.4 million (Q4 2025) and $325.63 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | American Tower | 76.26 Bn | 75.99 Bn | 2.72 Bn | 1.76 Bn |
| 2 | Digital Realty Trust | 64.98 Bn | 55.50 Bn | - | 1.86 Bn |
| 3 | Crown Castle | 28.39 Bn | 27.14 Bn | 989.00 Mn | 1.04 Bn |
| 4 | Sba Communications | 16.99 Bn | 17.07 Bn | 539.27 Mn | 327.05 Mn |
| 5 | Lamar Advertising | 12.56 Bn | 12.38 Bn | 422.53 Mn | 67.95 Mn |
| 6 | OUTFRONT Media | 4.89 Bn | 4.65 Bn | 276.40 Mn | 31.20 Mn |
| 7 | Array Digital Infrastructure | 2.92 Bn | 1.81 Bn | 30.57 Mn | 416.44 Mn |
| 8 | IHS Holding | 2.80 Bn | -57.74 Mn | 207.10 Mn | 1.07 Bn |
| 9 | Fermi | 2.69 Bn | 1.82 Bn | - | 62.54 Mn |
| 10 | Clear Channel Outdoor Holdings | 1.20 Bn | 488.27 Mn | 241.86 Mn | 192.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 416.44 Mn |
| Mar 31, 2026 | 253.64 Mn |
| Dec 31, 2025 | 113.40 Mn |
| Sep 30, 2025 | 325.63 Mn |
| Jun 30, 2025 | 386.00 Mn |
| Mar 31, 2025 | 182.00 Mn |
| Dec 31, 2024 | 143.73 Mn |
| Sep 30, 2024 | 272.00 Mn |
| Jun 30, 2024 | 195.00 Mn |
| Mar 31, 2024 | 185.00 Mn |
| Dec 31, 2023 | 150.00 Mn |
| Sep 30, 2023 | 153.00 Mn |
| Jun 30, 2023 | 186.00 Mn |
| Mar 31, 2023 | 154.00 Mn |
| Dec 31, 2022 | 273.00 Mn |
| Sep 30, 2022 | 254.00 Mn |
| Jun 30, 2022 | 320.00 Mn |
| Mar 31, 2022 | 300.00 Mn |
| Dec 31, 2021 | 156.00 Mn |
| Sep 30, 2021 | 231.00 Mn |
API Access
Array Digital Infrastructure Cash & Equivalents 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=cash-and-equivalents&ticker=AD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "AD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=AD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();