Manhattan Associates (MANH) Receivables (2010 - 2026)
Manhattan Associates (MANH) reported Receivables of $218.88 million for Q2 2026, up 4.3% from $209.84 million a year earlier but down 3.6% from the prior quarter.
Powered by 
Analysis
Manhattan Associates (MANH) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Manhattan Associates posted Receivables of $214.7 million, up 4.5% from FY2024.
- Receivables has increased for seven consecutive years, with a five-year compound annual growth rate of 14.5% (FY2020 to FY2025).
- By year, Receivables came in at $205.5 million in FY2024 (+13.4%), $181.2 million in FY2023 (+8.7%), $166.77 million in FY2022 (+34.0%) and $124.42 million in FY2021 (+13.9%).
- Five-year quarterly Receivables spans a low of $115.34 million in Q3 2021 and a high of $227.11 million in Q1 2026.
- Year over year, Receivables has now increased in each of the last 21 quarters, with growth averaging 7.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Receivables ranged from 2.4% (Q1 2025) to 34.0% (Q4 2022).
- Per Business Quant data, the three quarters before Q2 2026 came in at $227.11 million (Q1 2026), $214.68 million (Q4 2025) and $219.56 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 1,105.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 565.65 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 337.79 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 183.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 824.11 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 598.10 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 130.98 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 218.88 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 253.00 Mn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 218.88 Mn |
| Mar 31, 2026 | 227.11 Mn |
| Dec 31, 2025 | 214.68 Mn |
| Sep 30, 2025 | 219.56 Mn |
| Jun 30, 2025 | 209.84 Mn |
| Mar 31, 2025 | 210.69 Mn |
| Dec 31, 2024 | 205.50 Mn |
| Sep 30, 2024 | 199.76 Mn |
| Jun 30, 2024 | 191.23 Mn |
| Mar 31, 2024 | 205.70 Mn |
| Dec 31, 2023 | 181.20 Mn |
| Sep 30, 2023 | 183.38 Mn |
| Jun 30, 2023 | 178.45 Mn |
| Mar 31, 2023 | 160.57 Mn |
| Dec 31, 2022 | 166.70 Mn |
| Sep 30, 2022 | 143.50 Mn |
| Jun 30, 2022 | 133.85 Mn |
| Mar 31, 2022 | 132.04 Mn |
| Dec 31, 2021 | 124.40 Mn |
| Sep 30, 2021 | 115.34 Mn |
API Access
Manhattan Associates 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=receivables&ticker=MANH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=receivables&ticker=MANH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();