Manhattan Associates (MANH) Change in Receivables (2010 - 2026)
Manhattan Associates' Change in Receivables came in at -$7.79 million for Q2 2026, compared with -$4.52 million a year earlier.
Manhattan Associates (MANH) Change in Receivables (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Manhattan Associates reported Change in Receivables of $10.2 million, down 28.9% year-over-year; for FY2025, it was $3.58 million, down 86.6% from FY2024.
- Change in Receivables carries a five-year compound annual growth rate of -11.5% (FY2020 to FY2025).
- Going back by year, Change in Receivables was $26.7 million in FY2024 (+104.1%), $13.08 million in FY2023 (-70.3%), $44.06 million in FY2022 (+164.6%) and $16.65 million in FY2021 (+152.6%).
- The Q2 2026 figure represents the lowest quarterly Change in Receivables since Q2 2024.
- Year-over-year, Change in Receivables increased in three of the last four quarters, with growth averaging 68.2%.
- The fastest year-over-year change in Change in Receivables over five years came in Q3 2022 (growth of 482.0%), and the weakest in Q1 2025 (a decline of 86.9%).
- Business Quant data shows MANH's Change in Receivables at $13.22 million (Q1 2026), -$5.28 million (Q4 2025) and $10.06 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | -71.70 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 53.12 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 7.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | -22.77 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 5.89 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | -16.30 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | -7.79 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | -8.00 Mn |
| 10 | Bentley Systems | 9.64 Bn | 9.10 Bn | 336.74 Mn | 23.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -7.79 Mn |
| Mar 31, 2026 | 13.22 Mn |
| Dec 31, 2025 | -5.28 Mn |
| Sep 30, 2025 | 10.06 Mn |
| Jun 30, 2025 | -4.52 Mn |
| Mar 31, 2025 | 3.32 Mn |
| Dec 31, 2024 | 9.19 Mn |
| Sep 30, 2024 | 6.36 Mn |
| Jun 30, 2024 | -14.28 Mn |
| Mar 31, 2024 | 25.43 Mn |
| Dec 31, 2023 | -4.08 Mn |
| Sep 30, 2023 | 6.14 Mn |
| Jun 30, 2023 | 17.75 Mn |
| Mar 31, 2023 | -6.73 Mn |
| Dec 31, 2022 | 20.67 Mn |
| Sep 30, 2022 | 11.68 Mn |
| Jun 30, 2022 | 3.63 Mn |
| Mar 31, 2022 | 8.08 Mn |
| Dec 31, 2021 | 9.35 Mn |
| Sep 30, 2021 | 2.01 Mn |
Manhattan Associates Change in Receivables 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-receivables&ticker=MANH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "ticker": "MANH", "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-receivables&ticker=MANH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();