ReposiTrak (TRAK) Net Cash Flow (2010 - 2025)
ReposiTrak's Net Cash Flow came in at -$1.31 million for FY2026 (year ended Jun 30, 2026), compared with $3.41 million in FY2025.
Analysis
ReposiTrak (TRAK) Net Cash Flow (2010 - 2025) Analysis & Trends
Going back to FY2011, ReposiTrak's Net Cash Flow data covers 16 fiscal years.
- The FY2026 figure represents the lowest annual Net Cash Flow since FY2022.
- Per Business Quant, earlier fiscal years put Net Cash Flow at $3.41 million in FY2025 (+193.6%), $1.16 million in FY2024 (-54.0%), $2.53 million in FY2023 and -$2.61 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.09 Bn | 17.34 Bn | 695.95 Mn | -84.14 Mn |
| 3 | Samsara | 22.22 Bn | 18.99 Bn | 392.58 Mn | 74.21 Mn |
| 4 | Toast | 17.58 Bn | 10.25 Bn | 516.00 Mn | -108.00 Mn |
| 5 | Ptc | 15.23 Bn | 14.05 Bn | 490.47 Mn | -84.09 Mn |
| 6 | Trimble | 13.37 Bn | 12.44 Bn | 674.90 Mn | -16.40 Mn |
| 7 | Duolingo | 13.34 Bn | 8.51 Bn | 216.74 Mn | 42.33 Mn |
| 8 | Manhattan Associates | 11.67 Bn | 10.66 Bn | 168.33 Mn | -37.41 Mn |
| 9 | Costar | 10.92 Bn | 4.88 Bn | 728.00 Mn | -49.00 Mn |
| 10 | ReposiTrak | 148.52 Mn | 35.20 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -88,313.00 |
| Sep 30, 2025 | 226,001.00 |
| Jun 30, 2025 | 434,484.00 |
| Mar 31, 2025 | 92,923.00 |
| Dec 31, 2024 | 2.25 Mn |
| Sep 30, 2024 | 636,344.00 |
| Jun 30, 2024 | 701,182.00 |
| Mar 31, 2024 | 1.20 Mn |
| Dec 31, 2023 | -444,157.00 |
| Sep 30, 2023 | -293,651.00 |
| Jun 30, 2023 | 1.05 Mn |
| Mar 31, 2023 | 1.54 Mn |
| Dec 31, 2022 | -227,472.00 |
| Sep 30, 2022 | 166,779.00 |
| Jun 30, 2022 | 191,641.00 |
| Mar 31, 2022 | -439,386.00 |
| Dec 31, 2021 | 1.28 Mn |
| Sep 30, 2021 | -3.64 Mn |
| Jun 30, 2021 | 894,230.00 |
| Mar 31, 2021 | -718,561.00 |
API Access
ReposiTrak Net Cash Flow 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=net-cash-flow&ticker=TRAK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "ticker": "TRAK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=net-cash-flow&ticker=TRAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();