Werner Enterprises (WERN) Cash & Equivalents (2009 - 2026)
Werner Enterprises' Cash & Equivalents came in at $57.02 million for Q2 2026, up 10.9% from $51.42 million a year earlier but down 7.3% from the prior quarter.
Werner Enterprises (WERN) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Werner Enterprises' Cash & Equivalents was $59.92 million, up 47.0% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of 15.4% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $40.75 million in FY2024 (-34.0%), $61.72 million in FY2023 (-42.4%), $107.24 million in FY2022 (+97.9%) and $54.2 million in FY2021 (+84.8%).
- The five-year range for quarterly Cash & Equivalents is $40.75 million (Q4 2024) to $129.59 million (Q1 2023).
- Year-over-year, Cash & Equivalents has increased for three consecutive quarters, with growth averaging 2.8% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q3 2022 (growth of 176.7%), and the weakest in Q2 2022 (a decline of 71.7%).
- Business Quant data shows WERN's Cash & Equivalents at $61.54 million (Q1 2026), $59.92 million (Q4 2025) and $50.98 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 171.45 Bn | 165.97 Bn | - | 1.61 Bn |
| 2 | Csx | 90.36 Bn | 86.57 Bn | - | 1.01 Bn |
| 3 | United Parcel Service | 82.96 Bn | 59.85 Bn | - | 4.65 Bn |
| 4 | Canadian Pacific Kansas City | 77.40 Bn | 76.42 Bn | - | 257.58 Mn |
| 5 | Norfolk Southern | 73.28 Bn | 67.92 Bn | - | 1.07 Bn |
| 6 | Fedex | 69.58 Bn | 35.52 Bn | - | 13.31 Bn |
| 7 | Delta Air Lines | 49.43 Bn | 31.61 Bn | - | 3.79 Bn |
| 8 | Old Dominion Freight Line | 39.04 Bn | 38.30 Bn | - | 283.94 Mn |
| 9 | United Airlines Holdings | 31.23 Bn | -25.14 Bn | - | 10.17 Bn |
| 10 | Werner Enterprises | 1.97 Bn | 1.74 Bn | - | 57.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.02 Mn |
| Mar 31, 2026 | 61.54 Mn |
| Dec 31, 2025 | 59.92 Mn |
| Sep 30, 2025 | 50.98 Mn |
| Jun 30, 2025 | 51.42 Mn |
| Mar 31, 2025 | 51.95 Mn |
| Dec 31, 2024 | 40.75 Mn |
| Sep 30, 2024 | 54.66 Mn |
| Jun 30, 2024 | 70.45 Mn |
| Mar 31, 2024 | 60.34 Mn |
| Dec 31, 2023 | 61.72 Mn |
| Sep 30, 2023 | 42.75 Mn |
| Jun 30, 2023 | 46.50 Mn |
| Mar 31, 2023 | 129.59 Mn |
| Dec 31, 2022 | 107.24 Mn |
| Sep 30, 2022 | 125.68 Mn |
| Jun 30, 2022 | 54.42 Mn |
| Mar 31, 2022 | 125.95 Mn |
| Dec 31, 2021 | 54.20 Mn |
| Sep 30, 2021 | 45.43 Mn |
Werner Enterprises Cash & Equivalents 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=cash-and-equivalents&ticker=WERN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "WERN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=WERN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();