International Business Machines (IBM) Receivables (2009 - 2026)
International Business Machines' Receivables was $7.39 billion in Q2 2026, up 3.2% from $7.16 billion a year earlier but down 4.4% from the prior quarter.
International Business Machines (IBM) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Receivables at International Business Machines came in at $9.16 billion, up 18.2% from FY2024.
- Receivables shows a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- In earlier years, Receivables was $7.75 billion in FY2024 (-1.3%), $7.85 billion in FY2023 (+6.7%), $7.36 billion in FY2022 (-5.1%) and $7.76 billion in FY2021 (+19.6%).
- Quarterly Receivables has moved between $2.62 billion (Q4 2021) and $8.59 billion (Q4 2025) over five years.
- Compared with a year earlier, Receivables has increased for five straight quarters, with growth averaging 5.8% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was Q4 2022 (growth of 180.4%); the worst was Q3 2022 (a decline of 14.4%).
- Per Business Quant data, IBM's Receivables in the three quarters before Q2 2026 was $7.74 billion (Q1 2026), $8.59 billion (Q4 2025) and $6.71 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 6.00 Bn |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 7.39 Bn |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | 450.13 Mn |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 1.34 Bn |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | 288.60 Mn |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | 2.54 Bn |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | 9.50 Mn |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | 289.25 Mn |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 953.45 Mn |
| 10 | DigitalOcean Holdings | 14.71 Bn | 12.71 Bn | 154.66 Mn | 115.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.39 Bn |
| Mar 31, 2026 | 7.74 Bn |
| Dec 31, 2025 | 8.59 Bn |
| Sep 30, 2025 | 6.71 Bn |
| Jun 30, 2025 | 7.16 Bn |
| Mar 31, 2025 | 6.75 Bn |
| Dec 31, 2024 | 7.24 Bn |
| Sep 30, 2024 | 6.32 Bn |
| Jun 30, 2024 | 6.53 Bn |
| Mar 31, 2024 | 6.80 Bn |
| Dec 31, 2023 | 7.85 Bn |
| Sep 30, 2023 | 6.17 Bn |
| Jun 30, 2023 | 6.51 Bn |
| Mar 31, 2023 | 6.57 Bn |
| Dec 31, 2022 | 7.36 Bn |
| Sep 30, 2022 | 6.43 Bn |
| Jun 30, 2022 | 6.78 Bn |
| Mar 31, 2022 | 6.97 Bn |
| Dec 31, 2021 | 2.62 Bn |
| Sep 30, 2021 | 7.51 Bn |
International Business Machines 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=IBM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "IBM", "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=IBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();