Progress Software (PRGS) Change in Accured Expenses (2009 - 2026)
Progress Software's Change in Accured Expenses came in at $12.9 million for fiscal Q3 2026 (quarter ended Aug 31, 2026), down 45.9% from $23.85 million a year earlier.
Progress Software (PRGS) Change in Accured Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 31, 2026, Progress Software reported Change in Accured Expenses of -$5.47 million; for FY2025 (ended Nov 30, 2025), it came in at -$798,000.
- Going back by fiscal year, Change in Accured Expenses was $28.92 million in FY2024, -$1.24 million in FY2023, -$3.58 million in FY2022 and $5.49 million in FY2021.
- The five-year range for quarterly Change in Accured Expenses is -$31.27 million (fiscal Q1 2026) to $35.72 million (fiscal Q4 2024).
- Year-over-year, Change in Accured Expenses increased in two of the last four quarters, with growth averaging 33.9%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in fiscal Q3 2024 (growth of 206.3%), and the weakest in fiscal Q4 2025 (a decline of 60.2%).
- Business Quant data shows PRGS's Change in Accured Expenses at -$1.32 million (Q2 2026), -$31.27 million (Q1 2026) and $14.22 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 369.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 72.38 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 75.10 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 108.85 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 6.98 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | -2.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 256.58 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 43.09 Mn |
| 10 | Progress Software | 1.51 Bn | 1.09 Bn | 203.54 Mn | 12.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 12.90 Mn |
| May 31, 2026 | -1.32 Mn |
| Feb 28, 2026 | -31.27 Mn |
| Nov 30, 2025 | 14.22 Mn |
| Aug 31, 2025 | 23.85 Mn |
| May 31, 2025 | -16.05 Mn |
| Feb 28, 2025 | -22.82 Mn |
| Nov 30, 2024 | 35.72 Mn |
| Aug 31, 2024 | 14.69 Mn |
| May 31, 2024 | 3.41 Mn |
| Feb 29, 2024 | -24.90 Mn |
| Nov 30, 2023 | 12.79 Mn |
| Aug 31, 2023 | 4.80 Mn |
| May 31, 2023 | -1.17 Mn |
| Feb 28, 2023 | -17.65 Mn |
| Nov 30, 2022 | 6.47 Mn |
| Aug 31, 2022 | 10.28 Mn |
| May 31, 2022 | 7.12 Mn |
| Feb 28, 2022 | -27.45 Mn |
| Nov 30, 2021 | 11.48 Mn |
Progress Software Change in Accured Expenses 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=change-in-accured-expenses&ticker=PRGS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "PRGS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=PRGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();