Upland Software (UPLD) Long-Term Debt Repayments (2013 - 2026)
Upland Software (UPLD) reported Long-Term Debt Repayments of $4.1 million for Q2 2026, up 204.2% from $1.35 million a year earlier but down 14.9% from the prior quarter.
Upland Software (UPLD) Long-Term Debt Repayments (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Upland Software's Long-Term Debt Repayments came in at $268.5 million, up 21.3% year-over-year; for FY2025, it was $295.15 million, up 56.7% from FY2024.
- Long-Term Debt Repayments has increased for three consecutive years, with a five-year compound annual growth rate of 122.6% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $188.4 million in FY2024 (+366.3%), $40.4 million in FY2023 (+648.1%), $5.4 million in FY2022 (unchanged) and $5.4 million in FY2021 (unchanged).
- Five-year quarterly Long-Term Debt Repayments spans a low of $1.35 million in Q2 2025 and a high of $258.08 million in Q3 2025.
- Year over year, Long-Term Debt Repayments gained in four of the last seven quarters, with growth averaging 131.2%.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q4 2024 (growth of 444.4%); the low point was Q1 2026 (a decline of 85.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.82 million (Q1 2026), $1.5 million (Q4 2025) and $258.08 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 106.73 Bn | 81.98 Bn | 6.00 Bn | 250.00 Mn |
| 2 | Atlassian | 57.97 Bn | 51.25 Bn | 1.53 Bn | - |
| 3 | Autodesk | 53.49 Bn | 41.53 Bn | 1.87 Bn | - |
| 4 | Twilio | 38.73 Bn | 28.80 Bn | 725.87 Mn | 64,000.00 |
| 5 | Zoom Communications | 28.07 Bn | -2.72 Bn | 985.50 Mn | - |
| 6 | Figma | 12.67 Bn | 6.17 Bn | 309.61 Mn | - |
| 7 | Dropbox | 8.41 Bn | 4.04 Bn | 506.50 Mn | 35.30 Mn |
| 8 | Nice | 7.30 Bn | 5.77 Bn | 995.81 Mn | - |
| 9 | Open Text | 6.94 Bn | 2.37 Bn | 1.01 Bn | 458.96 Mn |
| 10 | Upland Software | 10.48 Mn | -102.50 Mn | 37.47 Mn | 4.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.10 Mn |
| Mar 31, 2026 | 4.82 Mn |
| Dec 31, 2025 | 1.50 Mn |
| Sep 30, 2025 | 258.08 Mn |
| Jun 30, 2025 | 1.35 Mn |
| Mar 31, 2025 | 34.23 Mn |
| Dec 31, 2024 | 7.35 Mn |
| Sep 30, 2024 | 178.35 Mn |
| Jun 30, 2024 | 1.35 Mn |
| Mar 31, 2024 | 1.35 Mn |
| Dec 31, 2023 | 1.35 Mn |
| Sep 30, 2023 | 36.35 Mn |
| Jun 30, 2023 | 1.35 Mn |
| Mar 31, 2023 | 1.35 Mn |
| Dec 31, 2022 | 1.35 Mn |
| Sep 30, 2022 | 1.35 Mn |
| Jun 30, 2022 | 1.35 Mn |
| Mar 31, 2022 | 1.35 Mn |
| Dec 31, 2021 | 1.35 Mn |
| Sep 30, 2021 | 1.36 Mn |
Upland Software Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=UPLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "UPLD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=UPLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();