Radiant Logistics (RLGT) Accumulated Expenses (2012 - 2026)
Radiant Logistics (RLGT) recorded Accumulated Expenses of $11.79 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 10.8% from $10.64 million a year earlier but down 1.1% from the prior quarter.
Radiant Logistics (RLGT) Accumulated Expenses (2012 - 2026) Analysis & Trends
Starting with fiscal Q2 2013, Radiant Logistics' Accumulated Expenses history includes 55 quarters.
- Annual Accumulated Expenses has increased for three straight fiscal years, with a five-year compound annual growth rate of 11.6% (FY2021 to FY2026).
- Across earlier fiscal years, Accumulated Expenses came in at $10.64 million in FY2025 (+18.9%), $8.95 million in FY2024 (+2.4%), $8.74 million in FY2023 (-23.0%) and $11.35 million in FY2022 (+66.6%).
- Quarterly Accumulated Expenses has ranged from $7.18 million in fiscal Q3 2023 to $11.96 million in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Accumulated Expenses has increased for seven consecutive quarters, with growth averaging 15.3% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 66.6% in fiscal Q4 2022, against a decline of 37.4% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $11.92 million (Q3 2026), $11.96 million (Q2 2026) and $9.95 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn |
| 10 | Radiant Logistics | 408.92 Mn | 285.26 Mn | 66.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.79 Mn |
| Mar 31, 2026 | 11.92 Mn |
| Dec 31, 2025 | 11.96 Mn |
| Sep 30, 2025 | 9.95 Mn |
| Jun 30, 2025 | 10.64 Mn |
| Mar 31, 2025 | 9.88 Mn |
| Dec 31, 2024 | 10.32 Mn |
| Sep 30, 2024 | 8.85 Mn |
| Jun 30, 2024 | 8.95 Mn |
| Mar 31, 2024 | 7.82 Mn |
| Dec 31, 2023 | 8.63 Mn |
| Sep 30, 2023 | 9.01 Mn |
| Jun 30, 2023 | 8.74 Mn |
| Mar 31, 2023 | 7.18 Mn |
| Dec 31, 2022 | 9.05 Mn |
| Sep 30, 2022 | 9.39 Mn |
| Jun 30, 2022 | 11.35 Mn |
| Mar 31, 2022 | 11.48 Mn |
| Dec 31, 2021 | 10.61 Mn |
| Sep 30, 2021 | 7.21 Mn |
Radiant Logistics Accumulated 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=accumulated-expenses&ticker=RLGT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "RLGT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=RLGT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();