Saia (SAIA) Retained Earnings (2010 - 2026)
Saia's Retained Earnings was $2.42 billion in Q2 2026, up 13.0% from $2.15 billion a year earlier and up 4.0% from the prior quarter.
Analysis
Saia (SAIA) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Retained Earnings at Saia came in at $2.28 billion, up 12.6% from FY2024.
- Retained Earnings has now increased for 15 consecutive years, with a five-year compound annual growth rate of 26.8% (FY2020 to FY2025).
- In earlier years, Retained Earnings was $2.02 billion in FY2024 (+21.8%), $1.66 billion in FY2023 (+27.1%), $1.31 billion in FY2022 (+37.6%) and $949.78 million in FY2021 (+36.4%).
- The Q2 2026 figure marks the highest quarterly Retained Earnings in data going back to Q4 2010.
- Compared with a year earlier, Retained Earnings has increased for 20 straight quarters, with growth averaging 16.5% over the last eight quarters.
- The year-over-year growth in Retained Earnings has ranged between 12.3% (Q1 2026) and 43.0% (Q2 2022) over the last five years.
- Per Business Quant data, SAIA's Retained Earnings in the three quarters before Q2 2026 was $2.33 billion (Q1 2026), $2.28 billion (Q4 2025) and $2.23 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.50 Bn | 165.03 Bn | - | 71.58 Bn |
| 2 | Csx | 89.27 Bn | 85.48 Bn | - | 11.35 Bn |
| 3 | United Parcel Service | 84.00 Bn | 60.89 Bn | - | 18.83 Bn |
| 4 | Canadian Pacific Kansas City | 77.39 Bn | 76.41 Bn | - | 13.88 Bn |
| 5 | Norfolk Southern | 73.11 Bn | 67.75 Bn | - | 13.91 Bn |
| 6 | Fedex | 71.15 Bn | 37.09 Bn | - | 44.46 Bn |
| 7 | Delta Air Lines | 50.21 Bn | 32.39 Bn | - | 14.88 Bn |
| 8 | Old Dominion Freight Line | 39.30 Bn | 38.56 Bn | - | 4.29 Bn |
| 9 | United Airlines Holdings | 31.92 Bn | -24.45 Bn | - | 11.54 Bn |
| 10 | Saia | 9.03 Bn | 8.85 Bn | - | 2.42 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.42 Bn |
| Mar 31, 2026 | 2.33 Bn |
| Dec 31, 2025 | 2.28 Bn |
| Sep 30, 2025 | 2.23 Bn |
| Jun 30, 2025 | 2.15 Bn |
| Mar 31, 2025 | 2.07 Bn |
| Dec 31, 2024 | 2.02 Bn |
| Sep 30, 2024 | 1.95 Bn |
| Jun 30, 2024 | 1.86 Bn |
| Mar 31, 2024 | 1.75 Bn |
| Dec 31, 2023 | 1.66 Bn |
| Sep 30, 2023 | 1.57 Bn |
| Jun 30, 2023 | 1.47 Bn |
| Mar 31, 2023 | 1.38 Bn |
| Dec 31, 2022 | 1.31 Bn |
| Sep 30, 2022 | 1.24 Bn |
| Jun 30, 2022 | 1.14 Bn |
| Mar 31, 2022 | 1.03 Bn |
| Dec 31, 2021 | 949.78 Mn |
| Sep 30, 2021 | 876.01 Mn |
API Access
Saia Retained Earnings 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=retained-earnings&ticker=SAIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "SAIA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=retained-earnings&ticker=SAIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();