ReposiTrak (TRAK) Long-Term Investments (2016 - 2026)
ReposiTrak's Long-Term Investments was $3.46 million in fiscal Q4 2026 (quarter ended Jun 30, 2026).
Analysis
ReposiTrak (TRAK) Long-Term Investments (2016 - 2026) Analysis & Trends
From fiscal Q3 2016 onward, ReposiTrak has reported Long-Term Investments for 14 quarters.
- The fiscal Q4 2026 figure marks the highest quarterly Long-Term Investments in data going back to fiscal Q3 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | - |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 496.78 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | - |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 102.69 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 617.40 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | - |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | - |
| 10 | ReposiTrak | 152.34 Mn | 39.02 Mn | - | 3.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.46 Mn |
| Mar 31, 2019 | 476,884.00 |
| Dec 31, 2018 | 477,884.00 |
| Sep 30, 2018 | 477,884.00 |
| Jun 30, 2018 | 477,884.00 |
| Mar 31, 2018 | 477,884.00 |
| Dec 31, 2017 | 477,884.00 |
| Sep 30, 2017 | 477,884.00 |
| Jun 30, 2017 | 477,884.00 |
| Mar 31, 2017 | 474,734.00 |
| Dec 31, 2016 | 471,584.00 |
| Sep 30, 2016 | 471,584.00 |
| Jun 30, 2016 | 471,584.00 |
| Mar 31, 2016 | 471,584.00 |
API Access
ReposiTrak Long-Term Investments 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=long-term-investments&ticker=TRAK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=TRAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();