Union Pacific (UNP) Change in Accured Expenses (2009 - 2026)
Union Pacific's Change in Accured Expenses was $187 million in Q2 2026, up 466.7% from $33 million a year earlier.
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Analysis
Union Pacific (UNP) Change in Accured Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Union Pacific's Change in Accured Expenses was $59 million through Jun 30, 2026; for FY2025, it came in at -$196 million.
- In earlier years, Change in Accured Expenses was $189 million in FY2024, -$215 million in FY2023, $565 million in FY2022 (+207.1%) and $184 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Change in Accured Expenses since Q4 2024.
- Compared with a year earlier, Change in Accured Expenses was higher in two of the last four quarters, with growth averaging 98.3%.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q2 2026 (growth of 466.7%); the worst was Q2 2025 (a decline of 84.1%).
- Per Business Quant data, UNP's Change in Accured Expenses in the three quarters before Q2 2026 was -$135 million (Q1 2026), $128 million (Q4 2025) and -$121 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 187.00 Mn |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | - |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 147.00 Mn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 1.21 Bn |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | - |
| 10 | Ryanair Holdings | 28.73 Bn | 12.74 Bn | 3.13 Bn | 510.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 187.00 Mn |
| Mar 31, 2026 | -135.00 Mn |
| Dec 31, 2025 | 128.00 Mn |
| Sep 30, 2025 | -121.00 Mn |
| Jun 30, 2025 | 33.00 Mn |
| Mar 31, 2025 | -236.00 Mn |
| Dec 31, 2024 | 271.00 Mn |
| Sep 30, 2024 | -69.00 Mn |
| Jun 30, 2024 | 207.00 Mn |
| Mar 31, 2024 | -220.00 Mn |
| Dec 31, 2023 | 166.00 Mn |
| Sep 30, 2023 | -41.00 Mn |
| Jun 30, 2023 | 97.00 Mn |
| Mar 31, 2023 | -437.00 Mn |
| Dec 31, 2022 | 132.00 Mn |
| Sep 30, 2022 | 230.00 Mn |
| Jun 30, 2022 | 140.00 Mn |
| Mar 31, 2022 | 63.00 Mn |
| Dec 31, 2021 | 188.00 Mn |
| Sep 30, 2021 | -77.00 Mn |
API Access
Union Pacific Change in Accured 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=change-in-accured-expenses&ticker=UNP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "UNP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=UNP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();