Applied Digital (APLD) Receivables (2022 - 2026)
Applied Digital's Receivables came in at $114.11 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 291.7% from $29.13 million a year earlier and up 102.6% from the prior quarter.
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Analysis
Applied Digital (APLD) Receivables (2022 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Applied Digital's Receivables was $56.31 million, up 724.4% from FY2025.
- Receivables carries a four-year compound annual growth rate of 131.9% (FY2022 to FY2026).
- Going back by fiscal year, Receivables was $6.83 million in FY2025 (+77.5%), $3.85 million in FY2024, $82,000 in FY2023 (-95.8%) and $1.95 million in FY2022.
- The fiscal Q1 2027 figure represents the highest quarterly Receivables in data going back to fiscal Q3 2022.
- Year-over-year, Receivables has increased for four consecutive quarters, with growth averaging 228.8% over the last five quarters.
- The fastest year-over-year change in Receivables over five years came in fiscal Q4 2026 (growth of 724.4%), and the weakest in fiscal Q1 2024 (a decline of 98.7%).
- Business Quant data shows APLD's Receivables at $56.31 million (Q4 2026), $20.75 million (Q3 2026) and $13.35 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,944.62 Bn | 3,880.11 Bn | 62.56 Bn | 62.08 Bn |
| 2 | International Business Machines | 231.10 Bn | 185.71 Bn | 9.71 Bn | 7.47 Bn |
| 3 | Equinix | 100.11 Bn | 88.01 Bn | 1.31 Bn | 1.27 Bn |
| 4 | Cloudflare | 96.02 Bn | 78.46 Bn | 557.23 Mn | 508.54 Mn |
| 5 | Nebius | 31.44 Bn | 4.87 Bn | 448.70 Mn | 288.60 Mn |
| 6 | Verisign | 27.82 Bn | 25.17 Bn | 393.20 Mn | 9.60 Mn |
| 7 | CoreWeave | 25.57 Bn | 12.66 Bn | 1.70 Bn | 2.54 Bn |
| 8 | Nutanix | 15.68 Bn | 7.37 Bn | 651.35 Mn | 289.25 Mn |
| 9 | GoDaddy | 14.30 Bn | 9.69 Bn | 843.00 Mn | 92.90 Mn |
| 10 | Applied Digital | 4.55 Bn | -3.63 Bn | 96.17 Mn | 114.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 114.11 Mn |
| May 31, 2026 | 56.31 Mn |
| Feb 28, 2026 | 20.75 Mn |
| Nov 30, 2025 | 13.35 Mn |
| Aug 31, 2025 | 29.13 Mn |
| May 31, 2025 | 6.83 Mn |
| Feb 28, 2025 | 14.62 Mn |
| Nov 30, 2024 | 12.31 Mn |
| Aug 31, 2024 | 2.30 Mn |
| May 31, 2024 | 3.85 Mn |
| Feb 29, 2024 | 225,000.00 |
| Nov 30, 2023 | 307,000.00 |
| Aug 31, 2023 | 27,000.00 |
| May 31, 2023 | 82,000.00 |
| Feb 28, 2023 | 3.08 Mn |
| Nov 30, 2022 | 2.56 Mn |
| Aug 31, 2022 | 2.05 Mn |
| May 31, 2022 | 1.95 Mn |
| Feb 28, 2022 | 1.04 Mn |
API Access
Applied Digital Receivables 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=receivables&ticker=APLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "APLD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=receivables&ticker=APLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();