Paymentus Holdings (PAY) Change in Accrued Expenses (2020 - 2026)
Paymentus Holdings' Change in Accrued Expenses was $7.43 million in Q3 2026, up 222.1% from $2.31 million a year earlier and up 14.3% from the prior quarter.
Paymentus Holdings (PAY) Change in Accrued Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Paymentus Holdings' Change in Accrued Expenses was $4.48 million through Sep 30, 2026, down 38.2% year-over-year; for FY2025, it came in at $1.69 million, down 76.4% from FY2024.
- Change in Accrued Expenses shows a five-year compound annual growth rate of -9.3% (FY2020 to FY2025).
- In earlier years, Change in Accrued Expenses was $7.16 million in FY2024 (+13.9%), $6.29 million in FY2023 (+84.9%), $3.4 million in FY2022 and -$44,000 in FY2021.
- The Q3 2026 figure marks the highest quarterly Change in Accrued Expenses in data going back to Q3 2020.
- Compared with a year earlier, Change in Accrued Expenses was higher in four of the last six quarters, with growth averaging 68.4%.
- The best year-over-year quarter for Change in Accrued Expenses over five years was Q4 2024 (growth of 250.3%); the worst was Q4 2025 (a decline of 75.5%).
- Per Business Quant data, PAY's Change in Accrued Expenses in the three quarters before Q3 2026 was $6.5 million (Q2 2026), -$11.26 million (Q1 2026) and $1.8 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Block | 51.56 Bn | 23.34 Bn | 3.24 Bn | - |
| 2 | PayPal Holdings | 50.29 Bn | 8.99 Bn | - | - |
| 3 | Coinbase Global | 35.53 Bn | -4.11 Bn | - | - |
| 4 | Fiserv | 33.43 Bn | 30.64 Bn | 2.76 Bn | -274.00 Mn |
| 5 | Corpay | 29.86 Bn | 18.68 Bn | - | -639.48 Mn |
| 6 | Global Payments | 25.78 Bn | 604.58 Mn | 2.01 Bn | -58.84 Mn |
| 7 | Guidewire Software | 13.57 Bn | 10.14 Bn | 269.68 Mn | 29.77 Mn |
| 8 | Jack Henry & Associates | 12.44 Bn | 12.35 Bn | 273.85 Mn | 25.46 Mn |
| 9 | Chime Financial | 11.95 Bn | 7.64 Bn | 646.07 Mn | 9.22 Mn |
| 10 | Paymentus Holdings | 4.22 Bn | 2.78 Bn | 93.84 Mn | 7.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.43 Mn |
| Jun 30, 2026 | 6.50 Mn |
| Mar 31, 2026 | -11.26 Mn |
| Dec 31, 2025 | 1.80 Mn |
| Sep 30, 2025 | 2.31 Mn |
| Jun 30, 2025 | 4.70 Mn |
| Mar 31, 2025 | -7.12 Mn |
| Dec 31, 2024 | 7.36 Mn |
| Sep 30, 2024 | 3.92 Mn |
| Jun 30, 2024 | 4.05 Mn |
| Mar 31, 2024 | -8.17 Mn |
| Dec 31, 2023 | 2.10 Mn |
| Sep 30, 2023 | 3.30 Mn |
| Jun 30, 2023 | 3.64 Mn |
| Mar 31, 2023 | -2.75 Mn |
| Dec 31, 2022 | 1.01 Mn |
| Sep 30, 2022 | -225,000.00 |
| Jun 30, 2022 | 1.75 Mn |
| Mar 31, 2022 | 862,000.00 |
| Dec 31, 2021 | -193,000.00 |
Paymentus Holdings Change in Accrued 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=PAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "PAY", "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=PAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();