Upland Software (UPLD) Amortization of Deferred Charges (2018 - 2026)
Upland Software's Amortization of Deferred Charges was $1.69 million in Q2 2026, down 12.1% from $1.92 million a year earlier and down 0.1% from the prior quarter.
Upland Software (UPLD) Amortization of Deferred Charges (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Upland Software's Amortization of Deferred Charges was $6.85 million through Jun 30, 2026, down 36.1% year-over-year; for FY2025, it was $8.13 million, down 33.1% from FY2024.
- Amortization of Deferred Charges shows a five-year compound annual growth rate of 11.7% (FY2020 to FY2025).
- In earlier years, Amortization of Deferred Charges was $12.15 million in FY2024 (-7.7%), $13.17 million in FY2023 (+8.0%), $12.2 million in FY2022 (+36.3%) and $8.95 million in FY2021 (+91.0%).
- The Q2 2026 figure marks the lowest quarterly Amortization of Deferred Charges since Q4 2020.
- Compared with a year earlier, Amortization of Deferred Charges has declined for ten straight quarters, with an average decline of 24.5% over the last eight quarters.
- The best year-over-year quarter for Amortization of Deferred Charges over five years was Q3 2021 (growth of 94.5%); the worst was Q3 2025 (a decline of 43.1%).
- Per Business Quant data, UPLD's Amortization of Deferred Charges in the three quarters before Q2 2026 was $1.69 million (Q1 2026), $1.73 million (Q4 2025) and $1.75 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 92.94 Bn | 68.19 Bn | 6.00 Bn |
| 2 | Atlassian | 48.88 Bn | 42.16 Bn | 1.53 Bn |
| 3 | Twilio | 45.24 Bn | 35.23 Bn | 725.87 Mn |
| 4 | Autodesk | 44.31 Bn | 32.34 Bn | 1.87 Bn |
| 5 | Zoom Communications | 27.15 Bn | -3.64 Bn | 985.50 Mn |
| 6 | Figma | 11.33 Bn | 4.84 Bn | 309.61 Mn |
| 7 | Dropbox | 7.45 Bn | 3.08 Bn | 506.50 Mn |
| 8 | Nice | 6.88 Bn | 5.35 Bn | 995.81 Mn |
| 9 | RingCentral | 6.55 Bn | 6.05 Bn | 472.31 Mn |
| 10 | Upland Software | 11.03 Mn | -101.95 Mn | 37.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.69 Mn |
| Mar 31, 2026 | 1.69 Mn |
| Dec 31, 2025 | 1.73 Mn |
| Sep 30, 2025 | 1.75 Mn |
| Jun 30, 2025 | 1.92 Mn |
| Mar 31, 2025 | 2.74 Mn |
| Dec 31, 2024 | 3.00 Mn |
| Sep 30, 2024 | 3.08 Mn |
| Jun 30, 2024 | 3.03 Mn |
| Mar 31, 2024 | 3.05 Mn |
| Dec 31, 2023 | 3.26 Mn |
| Sep 30, 2023 | 3.24 Mn |
| Jun 30, 2023 | 3.32 Mn |
| Mar 31, 2023 | 3.35 Mn |
| Dec 31, 2022 | 3.16 Mn |
| Sep 30, 2022 | 3.16 Mn |
| Jun 30, 2022 | 2.99 Mn |
| Mar 31, 2022 | 2.90 Mn |
| Dec 31, 2021 | 2.67 Mn |
| Sep 30, 2021 | 2.44 Mn |
Upland Software Amortization of Deferred Charges 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=amortization-of-deferred-charges&ticker=UPLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-of-deferred-charges", "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=amortization-of-deferred-charges&ticker=UPLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();