International Business Machines (IBM) Short term Debt (2009 - 2023)
International Business Machines (IBM) posted Short term Debt of $4.88 billion for Q1 2023, down 36.4% from $7.68 billion a year earlier but up 2.7% from the prior quarter.
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Analysis
International Business Machines (IBM) Short term Debt (2009 - 2023) Analysis & Trends
At the end of FY2022, International Business Machines' Short term Debt came in at $4.75 billion, down 29.8% from FY2021.
- Annual Short term Debt has declined for three consecutive years, with a five-year compound annual growth rate of -7.4% (FY2017 to FY2022).
- In prior years, International Business Machines' Short term Debt was $6.76 billion in FY2021 (-3.2%), $6.99 billion in FY2020 (-7.1%), $7.52 billion in FY2019 (+6.7%) and $7.05 billion in FY2018 (+0.9%).
- Quarterly Short term Debt has run from a low of $4.75 billion in Q4 2022 to a high of $10.93 billion in Q3 2018 over five years.
- On a year-over-year basis, Short term Debt has declined in each of the last four quarters, with an average decline of 12.5% over the last eight quarters.
- The strongest year-over-year quarter for Short term Debt in the past five years was Q3 2018, with growth of 154.3%; the weakest was Q1 2021, with a decline of 37.0%.
- According to Business Quant data, Short term Debt for the three prior quarters was $4.75 billion (Q4 2022), $5.74 billion (Q3 2022) and $5.75 billion (Q2 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn |
| 10 | DigitalOcean Holdings | 14.71 Bn | 12.71 Bn | 154.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 4.88 Bn |
| Dec 31, 2022 | 4.75 Bn |
| Sep 30, 2022 | 5.74 Bn |
| Jun 30, 2022 | 5.75 Bn |
| Mar 31, 2022 | 7.68 Bn |
| Dec 31, 2021 | 6.76 Bn |
| Sep 30, 2021 | 6.63 Bn |
| Jun 30, 2021 | 6.41 Bn |
| Mar 31, 2021 | 5.16 Bn |
| Dec 31, 2020 | 6.99 Bn |
| Sep 30, 2020 | 9.68 Bn |
| Jun 30, 2020 | 8.44 Bn |
| Mar 31, 2020 | 8.19 Bn |
| Dec 31, 2019 | 7.52 Bn |
| Jun 30, 2019 | 6.53 Bn |
| Mar 31, 2019 | 10.25 Bn |
| Dec 31, 2018 | 7.05 Bn |
| Sep 30, 2018 | 10.93 Bn |
| Jun 30, 2018 | 7.65 Bn |
| Mar 31, 2018 | 5.98 Bn |
API Access
International Business Machines Short term Debt 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=short-term-debt&ticker=IBM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=IBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();